Jobs

We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and prototypes and making them work reliably inside complex engineering environments. You will embed closely with system test engineers, automation framework/ test owners and development teams to adapt, harden and operationalize AI-driven workflows. This is a hands-on engineering role for individuals who thrive in ambiguity, enjoy working close to real users and can turn AI potential into measurable productivity gains.

Key Responsibilities:Forward Deployment of AI into Test Automation and turn AI prototypes into production-ready, repeatable solutions

Embed with system test and automation teams to:
Understand real testing workflows, constraints, and failure modes
Identify where AI can safely and effectively reduce manual effort
Adapt AI workflows to work with:
Existing automation frameworks
Real test data, schemas, and configurations

Agentic AI Implementation & TuningImplement and customize agentic AI workflows that:
Interpret requirements, schemas, or models
Assist in generating structured test assets
Tune AI behavior based on:
Real test outcomes
Failure analysis and feedback
Debug and resolve AI issues in live engineering environments

AI Tooling & Platform FeedbackWork with AI platforms (e.g., Qodo or similar) to:
Extend functionality where needed
Configure prompts, workflows, and validation layers
Evaluate emerging AI tools and frameworks in real system test contexts
Feed practical insights back to platform and leadership teams:
What works
What fails
What should scale

Enablement, Documentation & GuardrailsDocument AI usage patterns and best practices
Help define guardrails for:
Safety-critical configurations
Invalid or destructive AI-generated outputs
Enable test engineers to adopt AI confidently and responsibly

Required Qualifications2+ years of hands-on experience in software engi

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:

Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale

Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks

Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets

Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements

Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business ne

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

For more information, visit www.h2o.ai.

The Opportunity

We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.

You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.

What You

Sr. AI Engineer – Agent Orchestration

A high-growth technology company building AI-powered software for US government customers is hiring a Senior AI Engineer focused on agent workflow orchestration. The company’s AI agent has seen rapid adoption, and the team is now pushing it to handle increasingly complex, multi-step tasks either fully autonomously or in a human-in-the-loop mode.

This role is squarely backend and systems-focused. You’ll be designing how an AI agent plans, sequences, and executes long-running workflows — coordinating across multiple tools, data sources, and sub-agents to complete jobs that today require hours of manual work. Think of it as building the brain and nervous system of the agent, not the hands.

What You’ll Do

Architect and build the workflow engine that powers multi-step agent task execution — including planning, sequencing, branching, error recovery, and human handoff pointsDesign and implement multi-agent coordination patterns: routing between specialized sub-agents, managing shared memory and context, and orchestrating parallel workstreamsBuild scalable tool-use infrastructure that lets agents dynamically discover, select, and chain tools based on task requirementsOwn reliability and observability for long-horizon agent tasks — designing checkpointing, retry strategies, and evaluation harnesses that catch failures before users doDefine and enforce the technical architecture and engineering standards for agentic systems across the platform

What We’re Looking For

You have built an LLM reliably completing complex, multi-step tasks in production — not just single-turn Q&A, but real workflows with branching logic, tool calls, and failure handlingDeep experience with workflow orchestration patterns (DAGs, state machines, event-driven architectures) applied to LLM-powered systemsHands-on experience with agent frameworks (Claude Agent SDK, OpenAI Agent SDK, LangGraph, or similar)Strong understanding of LLM reliability e

Hi Professionals,

Title: Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TXExperience: 7+ Years
Location: Houston, TX (3 days/week onsite)

Mandatory Skills:

Strong expertise in NLP, Machine Learning, and Deep LearningProficiency in Python for ML/NLP solution developmentHands-on experience with LLMs, prompt engineering, and agentic workflows (e.g., LangGraph)Solid knowledge of data preprocessing, feature engineering, and data validationStrong MLOps skills: model versioning, CI/CD, pipelines, monitoring, retrainingExperience with Docker and KubernetesProficiency in SQL for data analysis and transformationExperience with AWS (EMR, Spark, PySpark, Bedrock)Knowledge of PostgreSQL or MySQLStrong understanding of testing, error analysis, and model validation "Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.”

Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TX1AWS,NLP,health OR Healthcare,MLOps,LLMN/AC2CUnited States

About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools.

Let’s Build the Future of Learning

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team (Applied AI):

Our mission is to invent and deploy the next generation of intelligent, personalized, and adaptive learning experiences. We’re consolidating AI efforts across the company into a unified portfolio and are accountable for a disproportionate share of Quizlet’s growth and product differentiation. You’ll partner closely with Product, Data Science, and the AI & Data Platform to deliver an AI‑driven learning coach that’s recognized as best‑in‑class.

About the Role:

As an Applied AI Engineer, you will be working at the forefront of our AI strategy, shaping Quizlet’s AI develop in one of the two complementary domains:

Personalization & Ranking – retrieval and ranking systems that match learners with the right content, experiences, and monetization moments across surfaces (search, feed, notifications, ads).

Generative AI & Agentic Systems – LLM‑powered tutoring, content understanding/synthesis, and tools that boost learner outcomes and creator productivity.

You will work on a variety of models and modeling systems (from Two‑Tower retrieval and multi‑task rankers to RAG/LLM pipelines), ensure robust evaluation and responsible deployment

We’re happy to share that this is an onsite position in either ou

About the position

Senior AI Engineer – Real Estate Tech We’re building an innovative product in the real estate space and seeking a Senior AI Engineer to join our founding AI team. This role involves turning generative AI concepts into production-ready features and shaping intelligent software experiences.

Responsibilities

AI Agent Development: Build autonomous and conversational AI agents to enhance productivity and automate workflows.AI/ML System Development: Architect scalable AI systems using AWS AI services and open-source frameworks.Full-Stack Integration: Collaborate with Ruby on Rails backend and React frontend teams for AI feature integration.Data Pipeline Management: Design robust pipelines for real estate datasets to support model training and inference.Performance & Monitoring: Optimize deployed models, APIs, and agents for reliability, accuracy, and cost efficiency.Innovation & Research: Apply LLMs, RAG, and agentic AI to solve complex problems.Technical Leadership: Mentor peers, contribute to coding standards, and influence AI strategy.Lifecycle Ownership: Handle AI development from concept to deployment and iteration.Requirements

5+ years in AI, ML, or software engineering with production AI experienceProficient in Python ; experience with PyTorch, TensorFlow, LangChainHands-on cloud deployment ( AWS preferred )Strong understanding of LLMs, Generative AI, RAG, data structures, algorithms, distributed systemsExcellent collaboration and cross-functional teamworkNice-to-haves

Experience with Ruby on Rails and React integrationKnowledge of vector databases (Pinecone, FAISS, Weaviate)Familiarity with MLOps tools (SageMaker, MLflow)Interest in real estate technology

GenAI / Agentic AI Engineer

Wilmington, DE - OPEN TO RELOCATION CANDIDATES

Hybrid: 3 days onsite
12-month contract (extension possible)
$68-70/hr W2 – NO CTC NO THIRD PARTY

Must be currently authorized to work in the U.S.

We are able to support H-1B transfer candidates, but are
unable to consider OPT/CPT candidates

Required Skills

3+ years experience in Generative AI / LLM / Agentic AI
Strong Python (must-have): APIs, async, microservices, distributed systems
Experience building RAG pipelines, embeddings, vector search, LLM orchestration
Experience with FastAPI / Flask
Hands-on GCP + Kubernetes/OpenShift
CI/CD + DevOps tooling experience
Experience working in enterprise or regulated environments
Ability to work independently and drive AI solutions
LangChain / LlamaIndex – nice to have -NOT REQUIRED

Day to Day

Build Generative AI and Agentic AI systems, including LLM-based autonomous agents and multi-agent workflows
Design and implement RAG pipelines (embeddings, vector search, retrieval, grounding, prompt engineering)
Develop LLM orchestration systems (function calling, tool use, guardrails, evaluation, safety controls)
Build Python-based AI microservices and APIs using FastAPI / Flask
Work on distributed AI systems supporting high-scale inference and retrieval workloads
Develop and manage MCP (Model Context Protocol) servers and context frameworks
Deploy AI solutions on GCP (Vertex AI, GKE, Cloud Run) and OpenShift/Kubernetes
Build and maintain CI/CD pipelines for AI services in enterprise environments
Work with vector databases (Pinecone, Redis, pgVector, MongoDB Atlas Vector Search, etc.)
Ensure security, governance, compliance, and responsible AI standards (banking environment)

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software component

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components

Job DescriptionJoin a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents and copilots using modern AI/ML techniques.

You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

ResponsibilitiesBuild end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects.Develop and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.Collaborate with stakeholders, present findings to non-technical audiences and provide strategic recommendations.Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.

QualificationsAt least 3 years of experience with Software Development, Machine Learning.At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.Experience with Data Connectors and API gateways

Principal Applied AI Engineer, Finance

We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision-making at scale. This role sits at the intersection of advanced machine learning, agentic AI, and software engineering, with a strong focus on production-grade AI systems, intelligent automation, and predictive modeling.

The ideal candidate is both a strategic technical leader and hands-on builder-capable of architecting complex AI systems with a software engineering mindset, influencing organizational direction, and delivering measurable business impact. You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and establish best practices across modeling, deployment, and governance in a finance context.

Key Responsibilities
Agentic AI & Generative Systems
Architect and lead the development of agentic AI systems that automate and augment finance workflows (e.g., forecasting, reporting, and decision support).Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns (e.g., RAG, model chaining, dynamic prompting).Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions.Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs.Design fault-tolerant, observable agent systems with clear failure modes and recovery strategies

Predictive Modeling & Customer Behavior Forecasting
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments.Develop interpretable, production-grade models that drive retention strategies and financial planning.Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection.Translate complex predictive insights into a

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/12/2026.

Work you'll do

As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.

Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

Design extensible functionality, support sprint sizing, and align solutions with senior team members.

Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

EchoStar is seeking a Senior Engineer to lead the design, development, and deployment of advanced AI/ML and AI systems across enterprise applications. This role focuses on building scalable, production-ready AI solutions for real-time analytics, intelligent automation, and decision support systems. You will collaborate with cross-functional teams to ensure seamless integration of AI/ML technologies into cloud-native infrastructure while maintaining high standards of performance, reliability, and security.

Key Responsibilities:

Design and implement AI/ML systems and integrate with Generative AI technologiesCollaborate with the data science teams to integrate AI/ML solutions into cloud infrastructure, ensuring smooth transitions and knowledge continuityOptimize AI/ML pipelines for real-time data handling, scalability, and develop APIs for seamless system communicationImplement CI/CD pipelines with tools like GitLab and leverage cloud-native technologies for scalable AI solutionsConduct testing, benchmarking, and documentation to ensure AI/ML systems meet performance and functional requirementsLead AI/ML initiatives, mentor junior engineers, and contribute to roadmaps, aligning so

Company Description

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

Job Description

We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.

In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.

Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
Experience working in highly ambiguous environments, and operating with

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You Are

An AI Native Engineer with strong experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You thrive in ambiguity and deliver concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.

The Work

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool in

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework. Working knowledge of at least one programming or scripting langua

Must Have Technical/Functional Skills Responsibility of / Expectations from the Role Role Agentic AI Engineer Location New York NJ Exp - 4 Years of Experience in Agentic AI Implementation Key Responsibilities Agent Development Design, code, and test autonomous AI agents that can break down complex tasks, reason through them, and take actions. System Integration Connect agents to databases, APIs, and SaaS platforms to perform real-world actions. Memory Context Management Implement systems (e.g., vector stores) that allow agents to retain memory and understand context over long-running tasks. Multi-Agent Coordination Build frameworks where multiple agents collaborate or negotiate to solve problems. Prompt Engineering Optimization Refine prompts and models to improve reasoning and performance. Required Skills and Qualifications Technical Proficiencies Python, API integration, and experience with LLMs. Frameworks LangChain, LangGraph, and other agent-based architectures. Data Structures Knowledge of vector databases and knowledge bases. Education Bachelors or Masters degree in Computer Science, AI, Mathematics, or a related field TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100,000 - $120,000 a year

Role Name - Agentic AI Engineer

ROLE_DESCRIPTION -

AI Engineer Agentic Platforms & Autonomous Systems Location Flexible / Hybrid / Remote (based on business needs) Role Summary We are seeking an AI Engineer to design, build, and deploy intelligent agents using modern agentic AI platforms, including (but not limited to) Writer, Amazon Bedrock, UiPath, and similar frameworks. This role focuses on creating secure, governable, and scalable agents that can reason, plan, and act across enterprise workflows while integrating with business systems and data.

The ideal candidate is platform-agnostic, understands agent autonomy levels, and can design systems that balance automation, oversight, and trust.

Key Responsibilities Agent & AI System Development " Design and build AI agents capable of reasoning, planning, and executing tasks " Implement agents using multiple agentic platforms (Writer, Bedrock, UiPath, or equivalent) " Apply retrieval-augmented generation (RAG), tool invocation, and memory patterns " Define agent operating modes (assistive, workflow-driven, semi-autonomous) Key Responsibilities Platform Integration & Orchestration " Integrate agents with enterprise systems via APIs and automation frameworks " Connect agents to structured and unstructured data sources " Build orchestration logic separating planning, execution, and validation " Design reusable, cross-platform agent patterns Key Responsibilities Governance, Risk & Control " Implement human-in-the-loop, policy guardrails, and permission controls " Ensure agent actions are auditable, explainable, and compliant " Collaborate with security, risk, and compliance teams Evaluation & Optimization " Measure agent performance, accuracy, cost, and latency " Diagnose and mitigate agent failure modes " Continuously optimize prompts and orchestration logic Required Qualifications " 4+ years of experience in software, AI/ML, or automation engineering " Hands-on experience building LLM-powered agents or wo

AI Engineer – Agentic AI / LLM Systems

New York | Series A Startup

$180-$250k + Equity

In office ( 5 days)

No visa sponsorship available - OPT Visas will not be considered

A fast-growing, venture-backed AI company is hiring AI Engineers to help build systems where AI doesn’t just generate responses but executes real workflows.

The team is developing AI agents capable of reasoning, coordinating tools, and running multi-step operational processes across enterprise systems.

The role

Build and deploy agentic AI systems that automate complex workflowsDesign infrastructure for LLM orchestration, tool usage, and task executionDevelop production systems in PythonImplement RAG pipelines, multi-agent systems, and AI-driven automationWork closely with engineers and researchers pushing AI systems into production

Requirements

Strong engineering skills in PythonExperience with LLMs and building agentic frameworksExperience with LangChain, LangGraph, RAG, or similar orchestration toolsBackground in building scalable AI-powered applications or automation systems

This is an opportunity to join a small, highly technical team building next-generation AI systems backed by leading investors.

We are hiring senior engineers who build fast, think AI-first, and can take agentic AI from prototype to production. You will design, ship, and operate agentic systems that combine large language models (LLMs), tools/functions, planning, memory, evaluation, and multi-agent communication. You will work primarily in Python for AI services and integrate with our enterprise stack (TypeScript/Angular, .NET/C#, SQL Server, Azure), delivering trustworthy, cost-efficient, low-latency experiences in real customer workflows.

What You'll Do!
Build agentic AI applications on Azure AI Foundry: Azure OpenAI models, Prompt Flow, tools/function-calling, evaluations, vector search (Azure AI/Cognitive Search), and orchestration for multi-step reasoning and tool use.Design memory & grounding: implement episodic/semantic/long-term memory with vector/graph stores; architect RAG pipelines and retrieval strategies that improve factuality and reduce latency/cost.Integrate via Model Context Protocol (MCP) to standardize tool/skill access; design agent-to-agent communication, delegation, and event-driven workflows.Connect agents to Microsoft Fabric (OneLake, Lakehouse, Warehouse, Real-Time Analytics) and Dataverse entities/workflows; ensure lineage, governance, and auditability.Develop AI-native backend services in Python (FastAPI, asyncio) with evaluation harnesses, observability, and cost/latency/quality dashboards.Embed AI features into the MTech stack: TypeScript/Angular UIs, .NET/C# services, SQL Server, NServiceBus, Azure DevOps pipelines, and Ionic/Cypress where applicable.Use AI-augmented development tools like GitHub Copilot, Bolt, Cursor, Replit, and vibe-coding workflows to accelerate delivery, test generation, refactoring, and documentation.Implement safety & reliability: guardrails, red-teaming, PII protection, prompt hardening, regression tests, automated evaluations; uphold SLO/SLA excellence in production.Implement full cycle agentic engineering: design → model/tool selecti

HiHope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

Design and build agentic AI frameworks and intelligent workflows using LLMs.Develop and integrate Python-based AI applications with internal systems and APIs.Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.Collaborate with cross-functional teams to align AI initiatives with business goals.Optimize AI agents for scalability, performance, and accuracy in production environments.Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.Required Skills & Experience:

Strong programming skills in Python and familiarity with AI/ML frameworks.Proven experience developing LLM-driven or multi-agent AI systems.Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Nice to Have:

Experience in healthcare or insurance domain.Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.Exposure to MLOps or AI agent lifecycle ma

Job Title: Agentic AI Engineer

Location: Remote Job (Canada)

Duration: 12 Months+

Job Description:

We re looking for an Agentic AI Developer who lives at the intersection of Python, autonomous systems, and real-world impact.This isn t a train a model and throw it over the wall role you ll design, build, and ship AI agents that think, act, and learn inside real products.

What You ll Do:

Design and build agentic AI systems (planning, reasoning, tool use, memory, feedback loops)Develop and optimize Python-based AI services for production useArchitect multi-agent workflows and autonomous decision pipelinesIntegrate LLMs with APIs, databases, tools, and real-world actionsOwn features end-to-end from concept prototype productionRapidly experiment, measure outcomes, iterate, and improveCollaborate directly with founders, product, and customersMake smart trade-offs between speed, scalability, and correctness

What We re Looking For:

Strong Python skills (clean, readable, production-grade code)Hands-on experience with LLMs, agents, or autonomous workflows

Solid understanding of:

Prompt engineering & evaluationTool/function callingMemory & context managementOrchestration frameworks (Lang Chain, Crew AI, Auto Gen, or similar)Experience deploying AI systems (APIs, async jobs, background workers)Comfort with data stores (SQL/NoSQL/vector DBs)Familiarity with cloud environments (AWS/Google Cloud Platform/Azure is a plus)

Overview:

Job Title: Agentic AI Engineer / Multi-Agent Architect

Company: R2 Technologies

Location: Alpharetta, GA (Hybrid / Remote Options Available)

Employment Type: Full-Time / Contractual

About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.

Job Summary: R2 Technologies is seeking an Agentic AI Engineer to build the next frontier of autonomous software. Instead of building static applications, you will design autonomous agents capable of independent planning, tool usage, and cross-agent delegation. You will be instrumental in developing systems that can reason through complex, multi-step workflows, debug their own errors, and execute tasks without human intervention to power our proprietary platforms and enterprise client solutions.

Key Responsibilities: * Design and orchestrate multi-agent architectures that allow LLMs to collaborate, delegate tasks, and execute complex business workflows.

Build custom tools, functions, and API integrations that autonomous agents can trigger independently (e.g., executing code, querying databases, triggering webhooks). Utilize cutting-edge frameworks like LangChain, CrewAI, AutoGPT, or Microsoft Semantic Kernel to structure agentic logic and memory streams. Develop robust evaluation frameworks to score agent performance on reasoning, tool s

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

{"description": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our cu

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

About this role:
In this role, you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.

What you'll contribute:


Fine-tune and evaluate state-of-the-art language models

Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines

Develop multi-agent workflows incorporating data from diverse sources using RAG

Improve and iterate on AI agents using observability and experimentation tools

Stay up-to-date with the latest literature and emerging technologies to solve novel problems

Work closely with product and design teams to develop intuitive applications that create societal impact

Qualifications


3+ YOE in Python

1+ YOE in LLM framework like Langchain or LlamaIndex

1+ YOE with agentic or RAG applications

Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions

Experience pushing the cutting-edge in LLM abilities on novel tasks with

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

About this role:In this role, you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.

What you'll contribute:Fine-tune and evaluate state-of-the-art language models

Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines

Develop multi-agent workflows incorporating data from diverse sources using RAG

Improve and iterate on AI agents using observability and experimentation tools

Stay up-to-date with the latest literature and emerging technologies to solve novel problems

Work closely with product and design teams to develop intuitive applications that create societal impact

Qualifications3+ YOE in Python

1+ YOE in LLM framework like Langchain or LlamaIndex

1+ YOE with agentic or RAG applications

Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions

Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs

Excellent software engineer with experience building highly extensible and modular

Job Description – Agentic AI Engineer (Fresher)

Company: Transnational AI Private Limited

Location: Coppell, TX (On-site )

Work Mode: onsite

About Transnational AI:

Transnational AI Private Limited is a Hyderabad-based global technology company building secure,

scalable, and intelligent agentic AI systems. Our AI platforms power digital exchanges across

employment, insurance, data, and financial services. We believe in creating real-world impact through

autonomous AI agents that plan, act, and learn responsibly. If you are passionate about building the future of intelligent systems — this is the place to grow your career.

Role Overview:

As a Fresher in the Agentic AI team, you will work on designing, developing, testing, and deploying

intelligent agent systems that interact with real users and platforms. You will get hands-on experience with cutting-edge LLM technologies, retrieval systems, tool integration, and agent orchestration frameworks — under strong mentorship from senior engineers. This is an excellent opportunity for

young engineers who want to build their careers at the intersection of AI, product, and systems

engineering.

Responsibilities:

• Contribute to building and maintaining agentic AI workflows — planning, decision-making,

orchestration.

• Work with LLMs, vector stores, prompt engineering, and RAG pipelines.

• Integrate agents with internal APIs, external tools, databases, and cloud services.

• Build guardrails, fallback strategies, and evaluation metrics for agent performance.

• Debug, monitor, and improve real-world AI agent behavior.

• Collaborate with AI, product, infrastructure, and domain teams to deliver production-ready solutions.

Qualifications:

• B.Tech / B.E. / M.Tech in Computer Science, AI, Data Science, or related fields.

• Strong programming skills (Python preferrhon preferred). • Basic understanding of ML / NLP / Generative AI.

• Familiarity with APIs, databases, and cloud tools.

• Strong

Job Number: R0233768

Agentic AI Engineer

The Opportunity:

We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.

What You'll Work On:

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving.Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can’t wait.

You Have:

5+ years of experience in software development2+ years of experience with GenAI, LLMs, and agentic workflowsExperience with LangChain, LangGraph, AutoGen, or LlamaIndexExperience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaborationExperience in RAG architecture and Knowledge Graphs, including Neo4j or NebulaGraphExperience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRAKnowledge of modern software design patterns, including microservice design or edge computingAbility to obtain a Secret clearanceBachelor’s degree in a Computer Science or AI field

Nice If You Have:

Experience deploying agentic systems in a production en

Agentic AI Engineer

The Opportunity:
We are looking for a highly skilledAgentic AI Engineerto join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.

What You'll Work On:

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.

Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving.

Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.

Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.

Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can't wait.

You Have:

5+ years of experience in software development

2+ years of experience with GenAI, LLMs, and agentic workflows

Experience withLangChain, LangGraph,AutoGen, orLlamaIndex

Experience withModel Context Protocol (MCP)for tool integration andA2Afor agent-to-agent collaboration

Experience inRAGarchitecture andKnowledge Graphs, including Neo4j or NebulaGraph

Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA

Knowledge of modern software design patterns, including microservice design or edge computing

Ability to obtain a Secret clearance

Bachelor's degree in a Computer Science or AI field

Nice If You Have:

Experience deploying agentic systems in a production environme

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Our Internship Program

Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.

What You'll Do

You will work on Projects Including:

As an Agentic AI Engineer intern at Teradata, you’ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.

You will:

Design and write high-performing and scalable software for training models.

Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.

Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.

Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.

Who You'll Work With

Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where inn

Software Engineer – AI Agents & Cloud Databases
In need of 4 Software Engineers to join our team, working at the intersection of AI agents and cloud database systems. This is a hands-on role to support tight deadlines before the end of the year.

Scope:Contribute to development of features and systems related to AI agents and cloud databases.Work within a Google environment (google3) on evolving project needs.Build across backend, infrastructure, and application layers.Develop and maintain evaluation frameworks for agentic systems.Support a mix of engineering tasks as project scope evolves.
Required:

Prior experience working at Google with google3.Strong generalist software engineering skills.Ability to work on-site in Sunnyvale.Experience with Python and/or Go.Familiarity with Borg-based development environments and/or GitHub workflows.Experience with generative AI, coding agents, and agentic applications (e.g., tool use, MCP, evals).Experience contributing to open source projects (GitHub).Experience creating, running, and maintaining evaluations for agentic systems.
Pluses:

Knowledge of SQL and familiarity with relational database internals such as Postgres.
Estimated Min Rate: $70.00
Estimated Max Rate: $80.00

What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)Health Savings Account (HSA) (for employees working 20+ hours per week)Life & Disability Insurance (for employees working

Company Description
Lumen Solutions Group Inc. is a technology consulting Services company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.

Role: AI Agent Engineer / Agentic AI Engineer
Location: Austin, TX (Hybrid - On Site and Telework)
Job Type: Contract

Note: We need only Local Texas Candidates.

Job Summary:
We are seeking an experienced AI/ML Engineer / Autonomous Agent Engineer with 8+ years of hands-on experience in artificial intelligence, machine learning, and advanced data science to design, develop, and deploy production-grade autonomous AI agents and intelligent workflows. The ideal candidate will have a proven track record of building scalable, enterprise-ready AI solutions, including multi-agent systems, agentic workflows, and Retrieval-Augmented Generation (RAG) architectures using vector databases. This role requires deep expertise in context engineering, LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT, and strong proficiency in Python along with leading AI/ML libraries and platforms including OpenAI, Hugging Face, and Azure AI.

Required Skills

4+ years of experience in AI/ML engineering or advanced data science. 4+ years of proven track record of building and deploying production-grade autonomous agents. 4+ years of strong experience in context engineering. 4+ years of deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4+ years of experience implementing RAG architectures using vector databases. 4+ years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI). 4+ years of experience integrating LLMs via APIs. 4+ years of knowledge of AI governance, model lifecycle management, and evaluation. 4+ years

We respectfully request that 3rd parties refrain from contacting us regarding this posting.

Overview

LABUR is partnering with a client executing a company-wide AI transformation across numerous initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. With a funded roadmap, enterprise AI licenses, and governed integrations already live, this role focuses on turning strategy into production-grade systems. We are seeking an Agentic AI Engineer to lead technical delivery, building agents, connectors, and workflows that unify CRM, ERP, HRIS, and data platforms into a natural-language-driven enterprise experience. This is a hands-on role centered on real-world delivery, reliability, and adoption.

Responsibilities

Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms.Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation.Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement.Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards.Implement governance frameworks including audit logging, data lineage, and PII protection.Partner with business teams to translate workflows into AI-enabled solutions.Drive adoption through reusable prompts, tools, and training for non-technical users.

Qualifications

3+ years of experience building API integrations with CRM, ERP, or HRIS platforms.Strong Python experience working with LLM APIs and SDKs.Hands-on experience with agentic architectures, including tool use, function calling, and multi-step workflows.Familiarity with AI frameworks such as LangChain, MCP, or similar.Experience implementing enterprise authentication, including OAuth, SSO/SAML, and role-based access control.Background working with data platforms, BI tools, and enterprise data governance concepts such as row-

Job DescriptionJoin a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents and copilots using modern AI/ML techniques.

You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

ResponsibilitiesBuild end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects.Develop and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.Collaborate with stakeholders, present findings to non-technical audiences and provide strategic recommendations.Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.

QualificationsAt least 3 years of experience with Software Development, Machine Learning.At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.Experience with Data Connectors and API gateways

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Role Snapshot

We're hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe Reason Act Evaluate). This is not a classic "train a model and deploy it" role—this is agentic decisioning + evaluation + safety in a low-latency AdTech environment.

What You'll Do
• Build bidder-adjacent agentic workflows that recommend/execute campaign control actions (targeting constraints, budget & pacing levers, bid modifiers, supply/inventory selection, creative routing).
• Implement production-grade RAG: retrieval from policies/playbooks, campaign history, aggregates, and near-real-time telemetry; optimize grounding and reduce hallucinations.
• Create safe tool/action interfaces: idempotent execution, audit logs, dry-run + approval gates, rate limits, rollback/fallback behaviors.
• Own AgentOps: eval harnesses, regression suites, online experimentation (A/B), metrics tied to outcomes (CPA/ROAS, pacing, quality, margin).
• Add observability end-to-end (tracing prompts/retrieval/tool calls/latency) and reliability

Company Description

At Maxima, we’re building an agentic AI platform to automate enterprise accounting.

Our system handles high-volume financial data, complex accounting workflows, and robust executions that must be accurate and reliable.

We’re tackling some of the hardest problems in enterprise automation, and we’ve assembled a world-class engineering team with staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. Maxima is backed by top-tier investors including Kleiner Perkins and Redpoint Ventures, and we’re trusted by category-defining customers like Scale AI and Rippling.

Role Overview

As an AI Engineer at Maxima, you’ll work at the intersection of AI systems and product, building agentic workflows that power real-world enterprise accounting automation. This role is not pure research or modeling—you’ll focus on turning modern AI capabilities into reliable, production-ready systems used by customers every day.

You’ll design and iterate on prompts, evaluations, and model interfaces; build and orchestrate agent workflows; and integrate AI components deeply into our product and infrastructure. A core part of the role is ensuring AI-driven systems are reliable and scalable, especially in high-stakes financial workflows.

You’ll collaborate closely with product, design, and engineering teams to ship end-to-end features, and you’ll help shape how AI is developed, tested, and deployed across the company. We value engineers who are pragmatic, product-minded, and excited to push AI systems from experimentation into dependable production.

What We're Looking For
• 2+ years building product at high-growth companies
• Familiarity with latest AI developments, practices, and frameworks
• Familiarity with web development, relational databases, and distributed systems
• Experience with data pipelines, mission-critical systems (e.g. fintech), or complex workflow engines is a plus
• Loves in-person culture, we are 5 days a week in office in downtown San Mateo

Job Description Summary
We are seeking a highly motivated and talented Sr AI Agent Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

Job Description

Roles and Responsibilities
• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
• Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.
• Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
• Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
• Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.
• Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
• Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.
• Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.
• Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
• Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products.

Core Technical Skills:
• Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong co

We are hiring as many as two Senior AI Engineers who can architect and ship agentic systems, swiftly. You will be embedded in the full product lifecycle: ideation, prototyping, testing, and iteration across multiple concurrent concepts. Our first platform targets compliance automation in regulated industries, starting with affordable housing, designed to scale horizontally. When something proves out, you go deep. When it doesn't, you let it go without sentiment and move to the next. If the products you launch draw early signs of product-market fit, the resources will be assigned accordingly to seize upon the opportunity and iterate.

What You'll Do

Design and deploy multi-agent orchestration systems using frameworks like LangGraph, CrewAI, AutoGen, or equivalent, and know when to roll your own
Build full-stack prototypes fast enough to validate or kill an idea within weeks, not quarters
Own the technical architecture on 2-4 parallel concepts at any point in time
Integrate LLMs, RAG pipelines, structured data sources, and external APIs into coherent product experiences
Oversee commercialization and enterprise-upgrading to bring MVPs to full launch
Instrument everything so decisions are data-driven, not vibes-driven
Collaborate directly with the principals. There is no middle layer here

Who You Are

You have built real agentic systems, not just demo apps. You understand tool use, memory architectures, multi-agent orchestration, and evaluation at a production level. You know the difference between a clever prototype and something that actually holds up under load
You move fast and you ship. You have launched products at startups where speed was the strategy, not just a nice-to-have. Weeks, not quarters
You are full-stack by necessity, not by title. Frontend, backend, infra, pipelines. You do what needs doing and figure out the rest on the fly
You have strong opinions about what makes software work and zero patience for unnecessary complexity. You woul

Agent Engineer (Agentic AI/LLM Systems)

Description -

Role Summary

Design and deliver agentic AI systems that operate across enterprise workflows. This role focuses on applied, system-level AI engineering rather than foundational model research or prompt-only experimentation

What You'll Do
• Design and implement agent-based systems using LLMs, tools, memory, and planning (including orchestration and multi-step workflows)
• Build and integrate agent workflows across enterprise systems via APIs and services with clear security, access control, and auditability boundaries
• Develop RAG pipelines where applicable to support agent reasoning
• Implement human-in-the-loop patterns for safety, review, escalation, and approval of high-impact actions.
• Define and operationalize evaluation frameworks (accuracy, reliability, task success)
• Own solutions from prototype through production deployment and monitoring and operational reliability
• Partner cross-functionally to deliver scalable, secure, and high-impact solutions

Qualifications

Required:
• Bachelor's or Master's in Computer Science, Data Science, or related field (or equivalent experience)
• Strong programming experience (Python required)
• Experience building LLM-based applications or workflow automation systems

Preferred:
• Experience with agent frameworks (e.g., LangChain, Semantic Kernel)
• Familiarity with RAG, vector databases, and evaluation techniques
• Experience designing multi-step or tool-augmented workflows

Core Competencies
• Agentic System Design
• Applied Generative AI
• Workflow Orchestration
• Evaluation & Reliability
• Software Engineering Excellence
• Cross-Functional Collaboration

The pay range for this role is $175,000 - $280,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefi

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
Location

This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role
• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.

Your skills and experience
• Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript.
• Basic to intermediate experience with test automation t

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and Agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic work

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express.

With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience.

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus

Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

Why this Role Matters:

We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing.
You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and b

Company Description

Vybers.ai is #hiring ! We are pioneering the creation of a cutting-edge platform, the Portal, to bridge the AI digital universe with the human physical world.

We're a VC-backed seed startup building AI world-sim-infra that brings human-context and causality to multi-agent systems. Our thesis: give rationality to AI, have humans in the most critical position of feedback loop. You'd join a small, high-leverage founding team and own the AI backend - we build and deliver at lightspeed: brainstorm and plan in the morning, execution in the afternoon, test and review at evening. As an AI startup, speed is our only moat, a commitment of 60 hrs/wk in average is expected.

Role Description

We are looking for a Sr. Agentic AI Engineer that has startup spirit, is AI-native, have commitment and ownership, and can drive XFN collaboration efforts.

We are looking for a Sr. Agentic AI Engineer who

Appreciate and can dive deep into the agentic AI infra stackHave passion and experience towards harness engineering (RL environment, agentic orchestration, eval framework, reasoning tracability, etc.). Can own the Agentic AI System and drive collaboration with Cross-functional team setup.Strong communication skill and startup spirit is a must.

The Intuit T4I (Tech for Intuit) team is responsible for building Intuit's core capabilities supporting enterprise Workforce, People, and Places technologies. Our stakeholders include HR, Facilities, IT, segment business unit leaders, and all Intuit employees and expert workforce. The T4I engineering organization partners closely with product, design, and platform teams to deliver primarily internal services that improve productivity and employee experience across Intuit.

As a Staff ( Software | ML) Engineer, you will play a critical role in designing, building, and scaling AI-powered agents and copilots that support Intuit's workforce. This role is focused on applied AI systems, not research-delivering production-ready agent architectures that integrate with enterprise systems and workflows.

You will help define how and where AI agents add real value, making thoughtful tradeoffs between LLM-based approaches, traditional ML techniques, and simpler heuristic or rules-based solutions. You will work across backend services, AI platforms, and conversational interfaces to enable intelligent automation at scale.

This role is well suited for senior backend engineers with strong AI systems experience or ML engineers with strong software engineering foundations who are excited about building end-to-end agentic systems.

If you have a bias for action, enjoy operating in ambiguity, and are motivated by building practical AI solutions that drive measurable business impact, this role may be a great fit.

Responsibilities

ResponsibilitiesDesign and Build AI Agents: Architect, develop, and deploy AI agents and copilots that augment Intuit employees' workflows, integrating with internal systems and tools.
Own End-to-End AI Systems: Take solutions from concept to production-including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.Apply the Right Tool for the Problem: Evaluate business problems and determine w

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ledgent Technology, is seeking the following. Apply via Dice today!

No Corp-to-corp / No Third-Party Agencies**We're Hiring on behalf of our client for Lead Agentic AI Engineer**
Hybrid Onsite near Fullerton, CA
190,000 to 210,000 annual salary (DOE)

*:**
Full-Time, Direct Hire
*Lead AI Developer - Microsoft/.NET Platform (On Prem)**
.
Partnered with a client who is seeking Lead AI Developer to help shape the next generation of intelligent, production-grade AI inside a mission critical, on prem manufacturing platform.

They're looking for a senior AI engineer who can own architecture, hands on development, and technical leadership as they embed advanced

*agentic**
capabilities, secure tool ecosystems, and reliable LLM integrations across Microsoft-based stack.
*What You'll DoArchitect end to end AI capabilities within an on prem .NET environment (ASP.NET, services, SQL Server).Build a robust agent runtime that handles tool execution, task state, routing, retries, and safe boundaries.Integrate with hosted LLM providers using modern tool/function-calling patterns and quality guardrails.Develop and maintain secure MCP-style tool servers for SQL, internal APIs, and file/report systems.Implement human in the loop controls, auditability, secrets management, and least privilege access patterns.Drive observability across logs, metrics, tracing, and dashboards.Establish testing strategies spanning unit, integration, failure simulation, and contract testing.Provide architectural direction, mentorship, reviews, documentation, and golden-path patterns for future AI dev work.Support deployments, troubleshooting, and alignment of AI capabilities with product priorities.What You Bring7+ years building distributed, production systems (Ideally, in .NET/C# services).2 years with agentic AI architecture/integration experience in business environment (not personal projects).Stron

Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Senior Applied AI Engineer to be part of revolutionizing these industries.

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next-generation construction workflows. In this role, you’ll build the bridge between machine learning models and real-world applications—using LLMs, computer vision, retrieval systems, and agentic orchestration to automate key steps in the homebuilding process such as plan interpretation, takeoffs, estimating, and specification matching.

This role blends hands-on engineering, AI system design, and integration with enterprise platforms—turning AI capabilities into production-ready features that builders, designers, and estimators can rely on daily.

What You Will Do:
• Build and deploy advanced agentic AI systems that combine large language models, computer vision, and rules-based logic to automate construction workflows.
• Implement and optimize retrieval-augmented generation (RAG) pipelines to connect LLMs with real-time project data, specifications, and plan sets.
• Integrate AI models into production services and APIs for use in design, estimating, and procurement applications.
• Fine-tune and adapt pre-trained models for domain-specific tasks such as plan understanding, entity extraction, and bill-of-material generation.
• Evaluate and refine model accuracy, reasoning quality, and cost efficiency through Evals, zero/few-shot tests, Chain-of-Thought reasoning analysis, and LLM-as-a-judge evaluation techniques.
• Optimize inference performance and ensure system reliability in live environments.
• Work closely with data engineers to structure, index, and prepare complex multimodal datasets (text, CAD/BIM files, images) for AI consumption.
• Implement and refine robust data pipelines for training, validation, and feedback loops to continuously

Luminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California.

About LuminaryLuminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California.

The RoleWe're looking for an LLM Engineer to architect our Physics AI Copilot—the next generation of intelligent assistants for engineering workflows. You'll work at the intersection of large language models and domain-specific engineering challenges, creating AI experiences that dramatically accelerate how engineers work.

ResponsibilitiesDevelop Agentic AI systems: Design and implement tools for agents to call; build reasoning, planning, and orchestration capabilities that enable the copilot to autonomously execute complex engineering workflows

Design and optimize RAG pipelines: Build retrieval-augmented generation systems over engineering documentation, physics simulation results, and domain knowledge bases

Implement memory and context management: Create persistent conversation memory and context systems that maintain coherent, l

About Lyzr

Lyzr is a Series A–backed enterprise AI company building a full-stack agent infrastructure platform that helps organizations design, deploy, and govern AI agents. Our platform enables enterprises to move beyond isolated AI use cases and into reliable, production-grade agentic workflows with strong controls around security, accuracy, and compliance.

Recognized by Accenture and Harvard Business School–led innovation ecosystems, Lyzr works with global enterprises to reimagine complex workflows using agentic AI. We focus on making AI agents dependable at scale - so teams can replace fragmented tool stacks with a unified, governed intelligence layer.

About The Job

You won't just be building interfaces; you will be architecting the future of work. You’ll be at the forefront of the "Third Way" of enterprise AI—combining open-source flexibility with enterprise-grade security. You will build Agentic apps on Lyzr, solving complex client requirements by turning fragmented processes into autonomous, intelligent workflows.

What You’ll Do

Build & Orchestrate: Design and deploy sophisticated AI Agents using the Lyzr Agent Studio and SDKs.

Full-Stack Ownership: Develop end-to-end applications with a heavy focus on Python backends and React frontends.

Client Success: Work closely with enterprise clients to translate business requirements into high-performing agentic architectures.

AI Innovation: Implement multi-agent collaboration, memory systems, and RAG-driven orchestrations.

What You Bring

Experience: 4+ years of professional full-stack development.

Tech Stack: Deep proficiency in Python (FastAPI/Django) and React.js.

AI-Native Workflow: You don’t just use a terminal; you leverage Cursor, Claude Code, and other LLM-powered coding tools to ship 10x faster.

LLM Fluency: Familiarity with LLM orchestration, prompt engineering, and the agentic AI landscape.

Location: Based in or willing to work in New York (This is an immediate, onsite/hybrid position).

Why

Senior AI Engineer (Gen AI Platform Services, Agentic Systems)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components incl

Role: AI Agent Developer / Agentic AI Developer

Local to MN candidates (Onsite )

Role Summary

Design, build, and scale autonomous AI agents that augment software engineering, DevSecOps, and enterprise developer workflows using modern large language models (LLMs) and agentic architectures.

Key Responsibilities

Design and develop autonomous and semi autonomous AI agents leveraging LLMs and agentic frameworks to solve complex engineering and operational problems.

Build AI-powered developer productivity tools, including assistants for code generation, review, refactoring, and documentation.

Develop and deploy agents that automate coding, testing, CI/CD, DevSecOps, and quality assurance workflows.

Integrate leading LLM platforms and copilots (e.g., GitHub Copilot, Claude, Codex) into enterprise developer toolchains and workflows.

Architect agent orchestration, tool calling, memory, and feedback loops to ensure reliability, security, and scalability.

Partner with platform, security, and engineering teams to ensure secure, compliant, and production ready AI solutions.

Continuously evaluate emerging LLMs, frameworks, and agentic patterns to drive innovation and best practices.

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

{"description": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates wor

About Tribe AI:

At Tribe, we’re on a mission to help enterprises rearchitect their business with AI. Today, every large enterprise wants to transform its business with AI, but they often lack the capabilities to do so. At Tribe, this gap is our opportunity.

We embed senior engineers to design, ship, and operate AI systems where correctness is probabilistic, failure modes are subtle, and success is measured by adoption, stability, and business outcomes.

About the Role

This is a forward-deployed, hands-on engineering role for people who’ve lived through multiple technology waves and know the difference between what’s exciting and what survives production.

You’ll embed with enterprise teams to build and harden LLM-powered systems under real constraints: hallucinations, retrieval failures, agent misbehavior, silent regressions, cost explosions, and shifting data distributions. You own systems end-to-end, from architecture through post-launch behavior.

This is not a research role, a prompt-only role, or a feature factory.

It is a delivery role for engineers who can make stochastic systems behave well enough that businesses rely on them.

‍

Examples of what You’ll Own:

Own production AI systems end-to-end
• Design, build, deploy, and operate LLM-powered systems in production.
• Own reliability for probabilistic systems: hallucinations, grounding, drift, latency, and cost.
• Make tradeoffs explicit when correctness, speed, and cost are in tension.

LLM, RAG, and/or Agentic Systems experience
• Build and debug RAG pipelines: ingestion, chunking, retrieval quality, reranking, grounding, and evaluation.
• Design agent workflows that interact with tools, APIs, and data without looping, stalling, or hallucinating authority.
• Identify when agents are the wrong abstraction and kill them early.

Evaluation, Observability, and Drift
• Build and maintain evaluation frameworks for LLM outputs (offline, online, human-in-the-loop).
• Detect silent regressions caused by model

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking mutli-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.

What you'll be doing:
• Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
• Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
• Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

What we need to see:
• Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
• 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, reinforcement learning, agents or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
• Strong C/C++ and Python programming skills and solid software engineering fundamentals.
• Outstanding problem-solving abilities and effective interpersonal skills.

Ways to stand out from the crowd:
• Hands-on experience with multimodal agentic AI frameworks.
• Deep expertise in building, training, and fine-tuning foundation models.
• Experience desi

Job Family: Software

Req ID: 497124

We are seeking a Senior Agentic Software Engineer to design, build, and operate production-grade AI agent systems that augment and automate real business workflows.

This role goes beyond prompt engineering or demo-level prototypes. You will own agentic systems end-to-end—from architecture and integration with existing services, to reliability, evaluation, and long-term operation. You’ll work closely with product, platform, and domain experts to deliver agentic capabilities that are trustworthy, scalable, and measurable, while helping define how agentic systems are built across the organization.

What You’ll Do:
• Design, build, and operate agentic systems that reliably complete real tasks, not just answer questions.
• Architect agents that support planning, memory, tool use, and multi-step execution, selecting appropriate patterns (single-agent, multi-agent, workflow-driven, human-in-the-loop) based on problem constraints and risk.
• Balance autonomy with control by designing agents that are predictable, debuggable, secure, and aligned with business goals.
• Build agents using modern frameworks (e.g., LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent), implementing structured outputs, tool-calling, reflection, and state management.
• Design and implement MCP- and/or RAG-based integrations as first-class mechanisms for how agents access tools, data, and context.
• Enforce security, consent, access control, and observability across all agent–tool interactions, partnering with platform teams to establish and evolve MCP integration standards.
• Integrate agentic systems into existing services and platforms via APIs and backend services, owning production readiness end-to-end.
• Define what “good” looks like for agents using clear metrics (e.g., accuracy, success rate, latency, cost, failure modes), and use those metrics to drive continuous improvement.
• Build automated evaluation pipelines (offline tests, synthetic dat

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb’s departments. This hybrid role blends hands‑on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities

Architect and develop multi‑agent systems for process automation and intelligent decision‑making.
Implement reasoning, planning, and tool‑use capabilities using frameworks such as LangChain, AutoGPT, or similar.
Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
Analyze, map, and document business proc

Role: AI Agent Engineer

Location: Austin TX

Duration: 4 Contract

Job Description

HHSC has issued a request for an AI Agent Engineer that will be responsible for designing and building agentic AI solutions, including autonomous workflows and RAG-based systems, to improve productivity, automate business processes, and support intelligent decision-making. This role focuses on production-grade agent development using tools like LangChain, LangGraph, CrewAI, and AutoGPT, with strong attention to governance, security, safety controls, and cost efficiency. The ideal candidate brings strong Python and LLM integration experience, plus the ability to build secure, scalable AI solutions for enterprise use.

Responsibilities include (but are not limited to):

Design and develop autonomous AI agents, RAG pipelines, and intelligent workflows that support business automation and decision-making.
Integrate LLMs securely using APIs, vector databases, MCP, and AI guardrails to support governed enterprise use cases.
Build, test, and maintain production-ready AI solutions with strong focus on governance, privacy, safety, and cost efficiency.

Minimum Candidate Characteristics:

4+ years of experience in AI/ML engineering or advanced data science with proven delivery of production-grade autonomous agents.
4+ years of experience building RAG architectures using vector databases and integrating LLMs through APIs.
4+ years of hands-on experience with Python, AI/ML libraries, and agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT.

Exceptional Candidate Characteristics:

Experience with an HHS agency.
Experience building multi-agent or autonomous agentic workflows in enterprise environments.
Experience optimizing LLM cost, token usage, and runtime performance.
Familiarity with enterprise AI deployment patterns, scalability, and operational controls.

Pay: $70.00 - $75.00 per hour

Benefits:

401(k)
Dental insurance
Health insurance
Vision insur

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components including

Security Clearance is required for this role

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary:

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communi

The Intuit T4I (Tech for Intuit) team is responsible for building Intuit’s core capabilities supporting enterprise Workforce, People, and Places technologies. Our stakeholders include HR, Facilities, IT, segment business unit leaders, and all Intuit employees and expert workforce. The T4I engineering organization partners closely with product, design, and platform teams to deliver primarily internal services that improve productivity and employee experience across Intuit.

As a Staff ( Software | ML) Engineer, you will play a critical role in designing, building, and scaling AI-powered agents and copilots that support Intuit’s workforce. This role is focused on applied AI systems, not research—delivering production-ready agent architectures that integrate with enterprise systems and workflows.

You will help define how and where AI agents add real value, making thoughtful tradeoffs between LLM-based approaches, traditional ML techniques, and simpler heuristic or rules-based solutions. You will work across backend services, AI platforms, and conversational interfaces to enable intelligent automation at scale.

This role is well suited for senior backend engineers with strong AI systems experience or ML engineers with strong software engineering foundations who are excited about building end-to-end agentic systems.

If you have a bias for action, enjoy operating in ambiguity, and are motivated by building practical AI solutions that drive measurable business impact, this role may be a great fit.

Responsibilities

ResponsibilitiesDesign and Build AI Agents: Architect, develop, and deploy AI agents and copilots that augment Intuit employees’ workflows, integrating with internal systems and tools.
Own End-to-End AI Systems: Take solutions from concept to production—including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.Apply the Right Tool for the Problem: Evaluate business problems and determine w

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is

#WeAreIn to create tiny chips and big careers. Are you ready to take the first step of your career? Let's shape the future together! Whether you join as a student, intern or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?

Your Role

Key responsibilities in your new role
• Agentic AI Development: Build agentic AI tools to enhance software and firmware development workflows\
• Data Mining: Analyze and extract insights from configuration data stored in data lake repositories
• LLM/SLM Tools: Develop application-level large/small language models for device configuration automation
• Machine Learning/NLP: Leverage ML and NLP algorithms to solve real-world engineering problems
• Database Expertise: Utilize SQL/NoSQL databases for data storage, access, and analysis
• Programming Languages: Apply Python, JavaScript, and other tools for AI and software development tasks

Your Profile

Qualifications and skills to help you succeed
• Education: Pursuing Bachelor’s or Master’s in Computer Science, Electrical Engineering, or Data Science
• Programming Languages: Proficiency in Python, JavaScript/TypeScript, or MATLAB
• AI Frameworks: Familiarity with tools such as Hugging Face or LangChain for LLM/SLM development
• Multidisciplinary Focus: Interest in embedded systems, power electronics, or configuration workflows
• Database Knowledge: Experience with SQL/NoSQL databases and data analysis workflows
• Collaboration Skills: Strong communication skills for teamwork and agile development environments
• Find out what we are looking for in your CV
• Find out how the student application process works with us
• Discover our student website

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive inno

Our company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What you will do

In this role you will:
• Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Teradata’s AI Platform.
• This is a Senior Individual Contributor role focused on building and deploying intelligent agents—not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.
• Architect and build AI agents for observability, automated root cause analysis, anomaly detection, and engineering productivity optimization.
• Design agentic workflows that integrate across telemetry pipelines, application stacks, and cloud infrastructure.
• Develop AI-driven tooling to accelerate development velocity, reduce operational toil, and improve MTTR.
• Apply LLMs, reasoning frameworks, and advanced AI patterns to automate complex debugging and system diagnostics.
• Drive AI-native development practices across apps, tooling, and platform engineering.
• Partner across engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows.
• Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce.
• Your work will directly shape how Teradata builds, monitors, and operates its AI-powered platform. Success in this role means measurable improvements in engineer

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

LATC Summary

Lenovo AI Technology Center (LATC) is Lenovo’s global AI Center of Excellence, fueling the enterprise’s transformation into an AI-first organization. As a world-leading computing company, Lenovo offers a full spectrum of technology products and solutions, covering wearables, Motorola smartphones, ThinkPad/Yoga laptops, PCs, workstations, servers, and end-to-end services. This unparalleled product breadth creates a unique canvas for AI innovation, enabling rapid deployment of cutting-edge foundation models and flexible hybrid-cloud, agentic computing across the entire product portfolio. LATC is building the next wave of AI core technologies and platforms that evolve with the fast-moving AI ecosystem, focusing on novel model and agentic orchestration collaboration across mobile, edge, and cloud resources. Our mission is to position Lenovo and its cust

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support A

Chicago, Atlanta, Bridgewater, Southfield

AI/LLM Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you’re considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role
• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.

Your skills and experience
• Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or Java

Our client is a world-renowned biotech powerhouse, but they're currently operating with the speed and ambition of a startup in the AI space. We aren't just looking for someone to build chatbots; we need a Senior Agentic AI Modeler who can architect systems that actually reason, plan, and solve complex problems autonomously.

If you’re obsessed with the 'bilingual' intersection of traditional predictive modeling and the new frontier of Multi-Agent orchestration (and you've already started playing with MCPs), we should talk.
• You'll have the freedom of a heavily remote schedule, with the added benefit of joining the team in the office roughly once a week (about 5 days a month) to stay connected.

About the Role:

Agentic System Design & Development
• Architect and implement autonomous and semi-autonomous agent workflows using modern frameworks (LangChain, OpenAI Assistants, Semantic Kernel, LlamaIndex, CrewAI, DSPy, etc.)
• Build agents capable of multi-step reasoning, task decomposition, planning, and tool execution.
• Develop tooling ecosystems—function APIs, retrieval endpoints, evaluators, monitoring hooks—for agent orchestration.
• Prototype, fine-tune, and optimize LLMs, RAG systems, and multi-agent architectures for reliability and low hallucination rates.

Modeling & Prompt Engineering
• Create robust prompt pipelines, templates, and routing strategies for diverse commercial/analytics use cases.
• Optimize agent behaviors via prompt distillation, chain-of-thought design, system message tuning, guardrails, and evaluation frameworks.
• Use datasets and logs to refine agent behavior through supervised fine-tuning or RLAIF where applicable.

Solution Integration & Delivery
• Integrate agents with enterprise systems, APIs, data stores, CRMs, search tooling, and business applications.
• Implement observability for agent decision-making: trace logs, tool call audits, success/failure rates, safety events, drift.
• Partner with engineering and MLOps to deploy agentic

Must Have Technical/Functional Skills
• Responsibility of / Expectations from the Role
• Role Agentic AI Engineer
• Location New York NJ
• Exp - 4 Years of Experience in Agentic AI Implementation

Key Responsibilities
• Agent Development Design, code, and test autonomous AI agents that can break down complex tasks, reason through them, and take actions.
• System Integration Connect agents to databases, APIs, and SaaS platforms to perform real-world actions.
• Memory Context Management Implement systems (e.g., vector stores) that allow agents to retain memory and understand context over long-running tasks.
• Multi-Agent Coordination Build frameworks where multiple agents collaborate or negotiate to solve problems.
• Prompt Engineering Optimization Refine prompts and models to improve reasoning and performance.

Required Skills and Qualifications
• Technical Proficiencies Python, API integration, and experience with LLMs.
• Frameworks LangChain, LangGraph, and other agent-based architectures.
• Data Structures Knowledge of vector databases and knowledge bases.
• Education Bachelors or Masters degree in Computer Science, AI, Mathematics, or a related field

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100,000 - $120,000 a year

Location

Jersey City, NJ

Job Function

TECHNOLOGY

Role

Engineer

Job Id

401620

Desired Skills

Data Structures | Python

Salary Range

$100,000-$120,000 a year

Desired Candidate Profile

Qualifications : BAC

About the Role:

Grade Level (for internal use):
12

S&P Global Corporate

The Role: Lead Workstation Agentic AI Engineer

The Team: Endpoint Management is part of the Digital Experience team. Our global team focuses on providing architectural and engineering services for S&P Global’s desktops, laptops, mobile devices, print services, and productivity applications.

What’s in it for you:

This position will provide an opportunity to expand your experience to all the technologies serviced by the Endpoint Management team and to work on state-of-the-art technologies used in the end-user computing space. You will work on projects and initiatives that will directly impact S&P Global’s employees and will expand your knowledge of our business and how Digital Experience’s technology enables the business.

Responsibilities:
• Architect and develop advanced vulnerability management solutions using Agentic AI frameworks and machine learning algorithms to automatically identify, prioritize, and orchestrate remediation workflows across enterprise workstation environments
• Design and implement automated CVE (Common Vulnerabilities and Exposures) response systems with real-time threat intelligence integration, including CVSS scoring automation and patch deployment orchestration
• Lead technical architecture decisions for endpoint security infrastructure, including integration with SIEM platforms, threat intelligence feeds, and enterprise security orchestration tools
• Develop comprehensive vulnerability assessment frameworks using PowerShell, Python, and REST APIs to interface with Microsoft Intune, Configuration Manager, and third-party endpoint management platforms
• Engineer advanced analytics and reporting solutions using data visualization platforms and business intelligence tools to provide executive-level vulnerability posture dashboards and risk metrics
• Establish DevSecOps practices for vulnerability management, including CI/CD pipeline integration, automated testing fr

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.

Overview

The Applied AI Prompt Engineer designs, optimizes, and maintains the prompts, agent behaviors, context structures, and Retrieval-Augmented Generation (RAG) workflows that power DeVry’s enterprise AI ecosystem—including Copilot, ChatGPT, agentic workflows, and internal knowledge tools.

This is a hybrid role blending prompt engineering, operational AI lifecycle management, and cross-functional collaboration. You will rapidly prototype prompt variations, run evaluations, maintain knowledge pipelines, and ensure outputs remain accurate, compliant, and aligned with DeVry’s tone and policies.

The ideal candidate is fast, curious, experimental, and skilled at translating human-to-human support scenarios into reliable AI-driven interactions.

Key Responsibilities

Prompt Design & Optimization
• Design and maintain high-quality prompts, and agent instructions for enterprise AI platforms.
• Rapidly prototype and iterate prompt variants using structured experimentation, evaluation metrics, and A/B testing.
• Build evaluation rubrics, structured test cases, and prompt datasets to measure accuracy, tone, consistency, and policy alignment.
• Adapt prompts for higher-education use cases (e.g., advising, HR, faculty support, IT, student services) while maintaining institutional tone and compliance.

RAG & Knowledge Integration
• Curate and manage document ingestion, embeddings, and knowledge base updates to ensure relevant, current, and contex

Location: Remote (Global)

Compensation: Competitive, dependent on experience

Type: Full-Time Contractor (2+ months, potential to extend)

Reports to: Managing Partner

About HELO Solutions

HELO Solutions is an AI consulting and product development company. We build production AI systems — agents, automation platforms, and intelligent workflows — for enterprise clients across industries including CPG, financial services, legal, and music. We also develop our own AI products. We are a small, high-output team that ships fast, operates with minimal bureaucracy, and holds a high bar for work that actually runs in production and gets used.

About the Role

We are hiring an AI Engineer who has built agents that are live in production at real companies — not demos, not prototypes that died after a pitch, not research projects. We need someone who has shipped agentic systems that enterprises depend on every day, and who understands the full lifecycle: scoping the business problem, designing the agent architecture, integrating with messy enterprise systems, building evaluation and monitoring, and keeping it running reliably.

This role sits across two priorities equally: building our internal multi-agent AI platform and delivering agent-based solutions directly to enterprise clients. You will work closely with our engineering team and the Managing Partner. You will have significant autonomy and direct impact on both the product and the business.

Responsibilities

Design, build, and deploy AI agents and multi-agent systems that solve real business problems for enterprise clients.
Architect and implement agent orchestration — coordination, handoffs, shared state, and communication between specialized agents within our multi-agent platform.
Integrate agents with enterprise systems (ERPs, CRMs, accounting platforms, APIs) to execute workflows end-to-end in production environments.
Build evaluation frameworks and production monitoring for deployed agents — loggi

Description

4 Days in the office from any of our locations in Johnston RI, Iselin NJ, Westwood MA, or Phoenix AZ

Role is not relocation eligible.

Role Summary

The Software Engineer II – Agentic AI Engineer is a mid‑level engineer responsible for building, integrating, and operating agent‑based AI capabilities within production software systems. The role focuses on implementing autonomous or semi‑autonomous AI agents that interact with tools, services, and workflows while adhering to established architectural patterns, security controls, and software engineering best practices.

This role operates with moderate autonomy, delivers independently on scoped components, and collaborates closely with senior engineers, product managers, and platform teams.

Core Responsibilities

1. Agentic AI Development

• Design and implement AI agents that can reason, plan, and act across defined tasks and workflows

• Develop prompt structures, memory handling, tool invocation logic, and agent orchestration patterns

• Implement agent guardrails including input validation, response constraints, and fail‑safe behaviors

• Apply responsible AI practices (traceability, explainability, and bias awareness) in agent design

2. Software Engineering

• Build production‑ready services that embed AI agents into applications and workflows

• Write clean, modular, testable code following team and enterprise coding standards

• Implement APIs, background jobs, or event‑driven components that leverage AI agents

• Participate actively in code reviews and design discussions

3. Integration with Enterprise Systems

• Integrate agentic AI with internal systems such as APIs, data services, workflow engines, and UI layers

• Implement secure access patterns for agent tool usage (authentication, authorization, secrets handling)

• Ensure agents operate within defined system boundaries and business rules

4. AI Runtime & Operational Readiness

• Support deployment of agentic AI components

Agentic AI Engineer

The Opportunity:
We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.

What You'll Work On:
• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
• Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
• Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
• Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can’t wait.

You Have:
• 5+ years of experience in software development
• 2+ years of experience with GenAI, LLMs, and agentic workflows
• Experience with LangChain, LangGraph, AutoGen, or LlamaIndex
• Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration
• Experience in RAG architecture and Knowledge Graphs, including Neo4j or NebulaGraph
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to obtain a Secret clearance
• Bachelor’s degree in a Computer Science or AI field

Nice If You Have:
• Experience deploying agentic systems in a

Dice is the leading career destination for tech experts at every stage of their careers. Our client, K Anand Corporation, is seeking the following. Apply via Dice today!

AI Developer / Agentic AI Engineer

Role Summary

We are building an agentic AI platform to transform commercial banking customer service. The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations with enterprise-grade controls, observability, and human-in-the-loop patterns.

This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic AI capabilities for regulated financial services

Responsibilities

Agentic AI Solution Development
• Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
• Implement intent classification information extraction validation and decision logic for servicing workflows
• Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management)
• Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds

Knowledge and grounding (RAG)
• Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance
• Build knowledge ingestion pipelines with refresh/versioning
• Improve answer quality via chunking strategies, embeddings re ranking and context management

Quality, Safety and Evaluation
• Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
• Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
• Partner with risk slash compliance to ensure traceability, audit logs, explain ab

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Atika Tech, is seeking the following. Apply via Dice today!

Position: Agentic AI Engineer

Location: Chicago, IL

Duration: 12+ Months

Key Responsibilities

Architecture & Design: Lead the design and implementation of stateful, multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.

Agent Orchestration: Develop robust reasoning loops (e.g., ReAct, Chain-of-Thought) and manage complex state, memory, and task hand-offs between specialized agents.

System Integration: Build secure interfaces (e.g., using Model Context Protocol (MCP)) to connect agents with enterprise APIs, databases, and external tools.

Production Excellence: Own the deployment, monitoring, and observability of agents in production using tools like Langfuse or LangSmith to trace reasoning and optimize performance.

Guardrails & Safety: Implement human-in-the-loop (HITL) mechanisms, input/output validation, and ethical guardrails to ensure agents operate safely and within regulatory boundaries.

Leadership: Mentor junior engineers, define coding standards for non-deterministic AI outputs, and drive the technical roadmap for agentic systems.

Required Technical Skills

Programming: Deep proficiency in Python and experience with backend frameworks like FastAPI.

AI Frameworks: Hands-on expertise in LangChain, LlamaIndex, and agent-specific orchestration patterns.

Data Systems: Strong knowledge of Vector Databases (e.g., Pinecone, Chroma), RAG architectures, and knowledge graphs.

Cloud & DevOps: Experience deploying AI workloads on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.

Evaluation: Proficiency in building automated evaluation harnesses (e.g., LLM-as-a-Judge) to measure accuracy and reduce hallucinations.

Qualifications

Experience: 5 8+ years in software engineering, with at least 2+ years focused on GenAI/Agentic AI implementations.

Education: Bachelor s

Agentic AI Engineer
Enterprise Integrations, Intelligent Automation & AI Platform Delivery

Department: IT & Digital Transformation
Reports to: Sr. Director, Infrastructure & BI
Type: 6 month contract

Location: Remote - US

The Opportunity
Accuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems.

We are looking for an Agentic AI Engineer to lead technical delivery-building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems.

Core Responsibilities
• Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms
• Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation
• Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement
• Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards
• Implement governance frameworks including audit logging, data lineage, and PII protection
• Partner with business teams to translate workflows into AI-enabled solutions
• Drive adoption through reusable prompts, tools, and training for non-technical users

What We're Looking For
• 3+ years building API integrations with CRM, ERP, or HRIS systems
• Strong Python experience with LLM APIs and SDKs
• Experience with agentic architectures (tool use, function calling, multi-step workflows)
• Familiarity with AI frameworks (LangChain, MCP, or similar)
• Experience with OAuth, SSO/SAML, and enterprise authentication
• Background in data platforms, BI tools, and enterprise data gove

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1–5 million weekly organic views on social media.

What You’ll Be Doing

In this role, you’ll be at the forefront of the AI that powers Outsmart’s applications. As an early member of the engineering team you’ll play a critical role in setting the tone for Outsmart’s technical culture including setting standards for algorithmic quality, scalability, and AI-first development. You will work on both generative and discriminative use cases, focusing on content generation at scale, gamification, benchmarking and analytics, multi-modal behavior classification from mobile signals, and continuously modernizing Outsmart’s SDLC.

Who You Are

5+ years experience in hands-on AI/ML role

Deep and proven experience with agentic engineering

Experience shipping AI-first applications at scale

Experience using AI effectively to contribute cross-platform

Demonstrable sense of Product, QA, and DevX

Ability to work autonomously in a fast‑paced environment

What You’ll Own

Co-ownership of AI-first SDLC

MCP/ML tooling

Contribute to prompting standards across the engineering team

Define and enforce benchmarks for AI applications

Work with Product and Engineering leadership to define AI roadmap

Own end-to-end deployment and maintenance of AI systems

What Helps You Succeed

Craftsmanship and Extreme Ownership

Open-mindedness

Frequent, direct, honest, kind communic

Job Title: AI/ML Engineer

Job Type: Full-Time

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills And Qualifications
• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, me

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.

Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

Design extensible functionality, support sprint sizing, and align solutions with senior team members.

Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The team

AI & Engineering leverages cutti

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.

Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.

Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterpris

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:
• Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale
• Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks
• Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets
• Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements
• Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need:
• Minimum of 5 years experience

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, an investment firm, is seeking a Software Engineer, AI Applications to join their team in New York, NY!

Responsibilities:
• Integrate LLM-powered features — including search, summarization, and workflow automation — into an existing product, working within established codebases and UI patterns.
• Design a data and metadata layer that makes AI outputs explainable, auditable, and reusable across teams.
• Set engineering patterns for how AI capabilities are built, tested, evaluated, and maintained going forward.
• Scope and ship near-term, high-ROI agentic workflows — such as automated meeting prep briefs, pipeline summaries, and relationship intelligence digests.
• Build backend services and APIs that synthesize internal data, activity history, and context into client-ready outputs.
• Take on additional projects and responsibilities as needs evolve across the engagement.

Qualifications:
• 5–8 years of software engineering experience with a strong backend or fullstack foundation.
• 2+ years of focused experience building and shipping LLM-powered applications to production — not just prototypes.
• Solid understanding of how to integrate AI capabilities into existing systems: APIs, data pipelines, and product codebases.
• Hands-on experience with RAG pipelines, prompt engineering at scale, and LLM evaluation.
• Pragmatic product sensibility — able to identify what is worth building, scope it tightly, and ship it.

Preferred:
• Experience with agent orchestration frameworks such as LangGraph or CrewAI.
• Domain exposure in financial services — credit

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering
• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration
• Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
• Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering
• Leverage containerization (Kubernetes, Dock

Job Title: Lead AI Engineer – AI Foundations, LLM Core & Agentic AI

Location- Remote

Role Summary

We are seeking a Lead AI Engineer to drive the design and development of advanced AI systems, with a focus on foundational models, Large Language Models (LLMs), and agentic AI frameworks. This role will lead the architecture and deployment of scalable, production-grade AI solutions that power intelligent automation and next-generation applications.

Key Responsibilities
• Lead the design and development of AI/ML systems with a focus on LLMs and agent-based architectures.
• Build and optimize pipelines for training, fine-tuning, and deploying large language models.
• Architect AI platforms supporting retrieval-augmented generation (RAG), embeddings, and vector databases.
• Develop and manage agentic workflows, orchestration layers, and multi-agent systems.
• Integrate AI capabilities into enterprise applications via APIs and microservices.
• Ensure scalability, performance, and reliability of AI systems in production.
• Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.
• Establish best practices for prompt engineering, model evaluation, and responsible AI.
• Implement monitoring, logging, and continuous improvement for deployed AI systems.
• Stay up to date with advancements in generative AI, LLM frameworks, and tooling.

Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 7–10+ years of experience in software engineering/AI engineering, with strong hands-on expertise in ML systems.
• Deep understanding of:
• Large Language Models (LLMs) and transformer architectures
• NLP, embeddings, and semantic search
• Retrieval-Augmented Generation (RAG)
• Strong programming skills in Python (preferred) and experience with ML frameworks (PyTorch, TensorFlow).
• Experience with LLM ecosystems and tools (e.g., LangChain, LlamaIndex, vector DBs like Pine

AI Engineer – Agentic AI / LLM Systems

New York | Series A Startup

$180–$250k + Equity

In office (5 days)

No visa sponsorship available

A fast-growing, venture-backed AI company is hiring AI Engineers to build systems where AI doesn’t just respond, but actually learns and executes real enterprise workflows.

The team is developing AI agents that can understand how businesses operate, generate structured instructions, and take action across complex systems, with built-in confidence scoring and human-in-the-loop decisioning.

The role
• Build and deploy agentic AI systems that automate complex, real-world workflows
• Design systems for LLM orchestration, tool usage, and multi-step execution
• Develop production-grade systems in Python
• Implement RAG pipelines, multi-agent systems, and learning workflows
• Build evaluation and confidence frameworks to determine when to automate vs escalate
• Work directly with customers to prototype and ship systems into production

Requirements
• Strong engineering background with Python
• Experience building production LLM systems
• Experience with agentic frameworks, RAG, or orchestration tools (LangChain, LangGraph, etc.)
• Experience building scalable AI systems or automation workflows
• Interest in learning systems, human-in-the-loop workflows, or evaluation frameworks

This is an opportunity to join a small, highly technical team building next-generation AI systems backed by leading investors, working on problems at the edge of what’s currently possible in applied AI.

About Lyzr

Lyzr is a Series A–backed enterprise AI company building a full-stack agent infrastructure platform that helps organizations design, deploy, and govern AI agents. Our platform enables enterprises to move beyond isolated AI use cases and into reliable, production-grade agentic workflows with strong controls around security, accuracy, and compliance.

Recognized by Accenture and Harvard Business School–led innovation ecosystems, Lyzr works with global enterprises to reimagine complex workflows using agentic AI. We focus on making AI agents dependable at scale - so teams can replace fragmented tool stacks with a unified, governed intelligence layer.

About The Job

You won't just be building interfaces; you will be architecting the future of work. You’ll be at the forefront of the "Third Way" of enterprise AI—combining open-source flexibility with enterprise-grade security. You will build Agentic apps on Lyzr, solving complex client requirements by turning fragmented processes into autonomous, intelligent workflows.

What You’ll Do

Build & Orchestrate: Design and deploy sophisticated AI Agents using the Lyzr Agent Studio and SDKs.
Full-Stack Ownership: Develop end-to-end applications with a heavy focus on Python backends and React frontends.
Client Success: Work closely with enterprise clients to translate business requirements into high-performing agentic architectures.
AI Innovation: Implement multi-agent collaboration, memory systems, and RAG-driven orchestrations.

What You Bring

Experience: 4+ years of professional full-stack development.
Tech Stack: Deep proficiency in Python (FastAPI/Django) and React.js.
AI-Native Workflow: You don’t just use a terminal; you leverage Cursor, Claude Code, and other LLM-powered coding tools to ship 10x faster.
LLM Fluency: Familiarity with LLM orchestration, prompt engineering, and the agentic AI landscape.

Location: Based in or willing to work in New York (This is an immediate, onsite/hybrid position).

Why Lyzr?

• *Job Description: AI Agent Engineer**

(Agent Building Team)
• Role:

AI Agent Engineer
• Job Location:

New Jersey
• Word Mode:

Hybrid
• Experience:

4+ years
• *About the Role**

We are looking for an AI Agent Engineer to join client’s Agent Building team to develop intelligent agents and business applications consuming the Enterprise AI Platform, with a focus on agent orchestration, evaluation frameworks, and domain-specific workflows using platform primitives.
• *Key Responsibilities**

· Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration

· Develop agent logic and troubleshooting using strong Python skills

· Implement comprehensive evaluation frameworks for model performance and RAG quality

· Create backend services with Python and integrate with platform APIs

· Build frontend experiences using React JS and Node JS frameworks

· Manage source code with Git/Bitbucket using agile development practices

· Design and debug agent behaviors for production reliability and business outcomes

· Integrate domain-specific RAG pipelines and evaluation metrics

· Consume platform services (gateways, MCP tools, observability) following security patterns
• *Required Skills & Qualifications**

· 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent)

· Hands-on experience building production agents with Bedrock AgentCore SDK, Strands SDK/CrewAI

· Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria)

· Full-stack development experience (React JS frontend, Node JS/Python backend)

· Agent debugging and observability skills for complex multi-agent workflows

· Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely
• *Nice to Have**

· Domain expertise in financial services use cases for agentic AI

· Multimodal agent development (text + image/audio processing)

· Previous CrewAI production deployments with custom tools and memory management
• Integers.

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI soft

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.

Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.

Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterpris

About SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About the RoleWe're looking for a highly accomplished and senior-level Forward Deployed Engineer with 5+ years of experience to lead the charge on complex AI agentic deployments. This role demands a seasoned technologist and strategic partner who can not only design and develop bespoke solutions leveraging our Agentforce platform and other cutting-edge technologies but also lead technical engagements and mentor junior peers. You'll be the primary driver of transformative AI solutions, operating with deep technical mastery, unparalleled problem-solving prowess, and a relentless focus on delivering tangible value in dynamic, real-world environments, from initial concept to successful deployment and ongoing optimization.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.

Your ImpactDrive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You Are

An AI Native Engineer with strong experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You thrive in ambiguity and deliver concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.

The Work

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool in

The Intelligence Platform team builds scalable, production-grade systems that power high-quality, user-centric intelligence across Apple’s operating systems. We focus on designing and operating large-scale ML systems leveraging Generative AI, Large Language Models, RAG architectures, and emerging agentic AI patterns. Our goal is to deliver reliable, low-latency, and privacy-preserving AI capabilities at scale.

Description

We are looking for a Software Engineer with strong systems and engineering expertise to build and scale LLM-powered systems in production. This role focuses on designing robust infrastructure for LLM serving, tool-use orchestration, and agentic workflows.

You will work at the intersection of ML and systems engineering-translating advanced AI capabilities into efficient, scalable, and reliable systems. You will play a key role in shaping system architecture, optimizing performance, and ensuring production readiness of LLM-driven features across Apple platforms.

","responsibilities":"* Design and build scalable systems for LLM inference, orchestration, and agentic workflows (e.g., tool-use pipelines, multi-step reasoning systems).
• Productionize LLM-based solutions with a focus on latency, throughput, reliability, and scalability.
• Architect and maintain infrastructure for model serving, batching, caching, and context management.
• Develop and optimize pipelines for RAG systems, retrieval infrastructure, and data flow across components.
• Partner with modeling teams to integrate models into production systems, ensuring alignment with performance and product requirements.
• Build monitoring, evaluation, and feedback systems to ensure high-quality and robust model behavior in production.
• Drive system-level optimizations across the stack, including distributed systems, concurrency, and resource management.

Preferred Qualifications

Experience with LLM serving systems, inference optimization, batching strategies, or caching (KV/prefix).

Experie

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:

Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale

Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks

Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets

Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements

Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requir

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

Job Summary

As we build to the next level, we’re looking for a top-quality AI engineer with a strong focus on AI agents - someone who knows how to leverage LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns.

This is an opportunity to build scalable, secure, and high-impact AI technologies for the future of enterprise. If you thrive in high-growth, fast-moving environments and are passionate about AI, ML, and AI agents, we want to hear from you.

Key Responsibilities

1. AI Agent Building (60%)
• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Build tools enabling AIs to interact with critical enterprise software platforms.
• Ensure AI designs align with business objectives and industry best practices.​

2. ML development and fine-tuning (30%)
• Create data generation and processing pipelines to train and fine-tune custom ML models.
• Implement and manage training and evaluation pipelines for LLMs.

3. Deployment and AI Systems Infrastructure (10%)
• Manage AI infrastructure across platforms such as AWS, Azure, or GCP.​
• Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

Required Qualifications
• Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.​
• 5+ years of experience in software engineering, platform engineering, or related roles.​
• P

We are looking for a driven AI Engineer to join our engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI, working to enable LLMs (Large Language Models) to interact with external tools, APIs, and data sources.
• Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week.
• This role reports to our office in Alpharetta, Georgia
• This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
• This is a direct-hire role and is not open to C2C or vendors.

What you’ll do
• Design, develop, and operate high scale AI applications across the full engineering stack.
• Design, develop, test, deploy, maintain, and improve software that has AI / LLM integrations in it.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
• Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables.
• Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity

What experience you need
• Bachelor's degree or equivalent experience
• 5+ years of software engineering experi