About Amigo

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

About this role

The Applied AI Engineer role at Amigo is a launchpad. You'll ship production AI agents end-to-end — writing the code, shaping product decisions, and sitting with customers as they deploy — and in doing so, you'll build the exact skill set that opens doors to the next chapter of your career at Amigo.

This role is designed to help you grow into other parts of the company. Applied AI Engineers move into one of four paths within 6–12 months:

• Applied AI: stay in the org; go deeper on agent architecture, verification frameworks, and the hardest customer problems; become a technical leader on the applied team

• Product Management: if you gravitate toward roadmap, discovery, and shaping what we build next

• Sales Engineering: if you thrive in pre-sales, technical storytelling, and closing enterprise deals

• Software Engineering: if you want to go deeper on platform, infrastructure, and core systems

You won't have to guess which fits. This role will actively help you explore each path, give you projects that stretch in those directions, and sponsor the internal transition when you're ready. People who want to stay on the applied side long-term can do that too — but this role is explicitly built so you don't have to.

What you'll do

• Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity

• Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems

• Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules

• Implement verification loops and simulation-based testing to validate agent performance against customer KPIs

• Write Python code for tool integrations and API orchestration within customer environments

• Build evaluation suites that gate deployments using customer-specific success metrics

• Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols

• Support technical power users through git-based workflows for rapid iteration

• Implement adversarial testing to systematically identify and prevent failure modes

• Ensure agents maintain audit-ready provenance with version pinning and evidence links

• Contribute to systematizing implementation patterns across different problem domains

What we're looking for

• 2+ years of production software engineering experience

• Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation)

• Experience with LLMs, prompt engineering, and building on AI platforms

• Ability to implement systems with strict reliability requirements

• Understanding of testing and verification methodologies

• Experience working directly with customers or stakeholders to deliver technical solutions

• Familiarity with git workflows and collaborative development

• Strong debugging and problem-solving skills for complex systems

• Ability to balance theoretical concepts with practical implementation constraints

• Clear technical communication for both engineering and non-technical audiences

Nice to have

• Experience in regulated industries (healthcare, finance, legal)

• Background with simulation, synthetic data, or evaluation frameworks

• Understanding of distributed systems and service-oriented architectures

• Experience with observability and monitoring in production environments

• Familiarity with compliance requirements (HIPAA, SOC 2, GDPR)

Benefits

Health & Wellness

• Comprehensive health, dental, and vision insurance

• Daily catered lunch and dinner

• Mental health support and wellness coaching

• Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Annual team offsite

• Academic collaboration opportunities

• Unlimited PTO

Our Core Values

1. Patients Win, We Win

   If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

2. High Standards, High Care

   We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

3. Thoughtful Urgency

   We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

4. Intensely Measured

   We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

Who Builds With Us

• Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.

• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.

• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.

• Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.

• Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.

BPX GenAI Squad Data Scientist requirement

Data Scientist AIML P2P3

Experience 6- 8 Years

Skillset Required

Expert level understanding of Machine LearningDeep Learning concepts techniques algorithms

Hands on working experience on building end to end MLDL solutions

Expert level proficiency in Python programming is a prerequisite

Strong understanding of objectoriented programming and design principles

Experienced with common data science packages in Python like Pandas Numpy Matplotlib and frameworks such as Tensorflow Pytorch

Handson experience in RESTful APIs development with FlaskAPI FastAPI

Excellent understanding of NLP concepts libraries including Word2Vec TFIDF NLTK SpaCy Gensim BERT GloVe etc

Must have experience in development of NLPNLGNLU projects

Deep understanding of Transformer Architectures including BERT GPT DistillBert

Good understanding of Generative AI concepts like Large Language Models Finetuning Evaluating LLMs PEFT RAG Embeddings Vector Databases etc

Experience in frameworks such LangChain LlamaIndex

Experience with Large Language models such as Llama GPT PaLM etc

Experience with Amazon Bedrock Azure OpenAI GCP GenAI Studio

Expertise in training and finetuning LLMs would be preferred

Proficientcy in model development deployment and optimization techniques

Certifications in GenAIAIML preferred

Experienced in deploying AI solutions in cloud environments

Working knowledge in any of the major cloud services AWSAzure

Working knowledge in either of AWS SageMakerAzure Cognitive ServicesGoogle Vertex AI

Certification in any of the Cloud Platforms AWSAzureGCP

Good problemsolving and critical thinking skills

Familiarity with version control systems Git

Knowledge of SQL NoSQL

Key Roles Responsibilities

Create and maintain highquality reusable code components and libraries for future use

Perform rigorous testing and validation to ensure models perform accurately and efficiently in various conditions

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.

The Opportunity

We're looking for a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone who’s ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver impact.

What you'll do

Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)

Fine-tune and evaluate LLMs using both open-source and proprietary data

Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma

Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases

Monitor and improve model quality, latency, explainability, and safety

Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications

3–6 years of experience in applied ML, with at least 1–2 years working with LLMs

Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)

Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning

Bias for experimentation, clarity, and pushing things into production — fast

Understanding of responsible AI practices, model evaluation, and observability

Experience in healthcare, compliance-sens

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 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)

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

Job Summary

As an LLM Engineer at our forward-thinking education technology company, you will design, develop, and optimize large language model solutions that transform digital learning experiences. The ideal candidate is innovative and technically skilled, with a passion for applying AI to enhance educational content, personalized learning, and academic support tools. You will collaborate with cross-functional teams to deliver scalable, ethical, and high-impact LLM-powered solutions tailored to the needs of students and educators.

Must-Haves:

We are seeking a candidate with proven experience developing and deploying large language models, ideally with applications in education or e-learning. You must be proficient in Python and familiar with leading ML/AI frameworks (such as TensorFlow, PyTorch, or Hugging Face Transformers). A strong understanding of NLP, prompt engineering, and model evaluation is essential. Experience with cloud platforms and a solid grasp of data privacy and ethical AI in education are highly valued. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders are required.

Responsibilities:

Design, develop, and optimize LLM-based applications for educational use cases, such as adaptive tutoring, content generation, and automated assessment.
Fine-tune, evaluate, and maintain LLMs using relevant educational datasets and benchmarks.
Implement prompt engineering and in-context learning strategies to improve model performance and user experience.
Collaborate with educators, product managers, and engineers to align LLM solutions with pedagogical goals and user needs.
Develop and maintain robust, scalable APIs and services for LLM deployment in production environments.
Ensure data privacy, security, and compliance with educational standards and regulations.
Document technical processes, model architectures, and evaluation results for internal and external stakeholders.
Stay curre

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

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

Responsibilities

Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Develop rendering modules for generating 2D/3D visual assets.
Curate and manage large-scale datasets for learning-based systems.
Implement and optimize post-training workflows for machine learning models.
Contribute to the development of domain-specific languages for engineering tasks.

What we are looking for

5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
BSc or MSc in Compute

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)

Build real AI systems—for real public impact.
Louisville Metro Government is seeking an Applied AI Engineering to serve as a hands-on builder and trusted technical advisor as we scale applied AI across city services.
This role blends modern AI engineering with strategic civic leadership. You will design, prototype, and integrate AI solutions while advising executive leadership on what is possible, what is risky, and what is worth scaling. You will help define Louisville Metro’s emerging AI platform, technical standards, and architectural patterns.
What You’ll Do

Partner with the CAIO, AI Product Lead, and departments to identify high-impact AI use cases.
Design and build AI solutions such as Q&A assistants, document intelligence, routing and triage tools, and workflow automations.
Serve as a technical advisor on AI capabilities, constraints, and risks.
Evaluate and integrate third-party AI platforms, ensuring compliance with security, data, and interoperability standards.
Collaborate with data, security, and infrastructure teams to define reusable technical patterns and reference architectures.
Design and execute experiments, proofs-of-concept, and pilot evaluations.
Communicate complex technical concepts in clear, accessible language to nontechnical stakeholders.
Develop and maintain technical documentation, runbooks, and operational handoffs.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
Three (3) years of professional experience in software engineering, machine learning engineering, data engineering, or applied AI development (or equivalent experience).
Proficiency in Python and experience with modern AI/ML or LLM frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
Experience building applied AI solutions such as chatbots, recommendation systems, document pipelines, and RAG architectures.
Experience with cloud platforms (AWS, Azure, or GCP), containerization, CI/C

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

Job Title: AI Agent Engineer

Location: Reston, VA ( Onsite)

Job Description:

Required Skills:

Strong experience in AI/ML concepts and model development

Hands-on experience with Large Language Models (LLMs)

Experience with OpenAI API or similar AI platforms

Good understanding of RAG architecture and implementation

Experience with embeddings and vector databases (e.g., Pinecone, FAISS, Weaviate)

Proficiency in Python or Go (Golang)

Experience with AWS services (EC2, S3, Lambda, SageMaker, etc.)

Knowledge of REST APIs and microservices architecture

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

A leading engineering firm in New York is seeking an Applied AI Engineer to automate civil engineering processes. You will work closely with civil engineers, building AI systems that enhance design and documentation tasks. Ideal candidates should have over 5 years of software engineering experience, with a strong focus on applied AI/ML, excellent Python skills, and familiarity with ML frameworks like PyTorch and HuggingFace. Join us to help revolutionize the engineering industry through AI. #J-18808-Ljbffr

Lead AI Engineer (GenAI Platform Services, Python)

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 including foundat

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

LLM Engineer
12 month+ contract
100% Remote

Position Summary

Position Summary
The LLM Engineer is responsible for designing, developing, and deploying large language model solutions that support enterprise operations. This role focuses on Azure AI services, Azure OpenAI, and the integration of LLM capabilities into internal applications and workflows. The engineer will work closely with cross-functional teams to turn business requirements into scalable, production-ready AI solutions.

Key Responsibilities
• Design, develop, and deploy LLM-based applications using Azure AI, Azure OpenAI, and related cloud services
• Build retrieval-augmented generation (RAG) pipelines, embeddings, vector stores, and prompt workflows
• Integrate LLM capabilities into enterprise platforms such as Power Platform, Microsoft 365, and internal systems
• Prepare, clean, and transform data for LLM consumption and build feature and inference pipelines
• Implement model monitoring, lifecycle management, evaluations, and performance tuning
• Collaborate with automation engineers, product owners, and business stakeholders to assess and scope use cases
• Document solution architectures, model workflows, and technical designs
• Evaluate emerging AI tools, frameworks, and best practices
• Support troubleshooting, testing, and responsible AI standards

Required Skills and Experience
• Strong hands-on experience with Azure AI services, Azure OpenAI, or similar LLM platforms
• Proficiency in Python and common ML libraries (scikit-learn, pandas, PyTorch, TensorFlow)
• Practical experience building and deploying LLM applications, including embeddings, RAG, prompt engineering, and fine-tuning
• Understanding of data pipelines, model evaluation, and monitoring
• Experience integrating LLM solutions into enterprise systems
• Ability to communicate complex AI concepts clearly to both business and technical stakeholders

Preferred Experience
• Exposure to Power Platform AI Builder, Copilot Studio, or Micro

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

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

Miracle Software Systems, looking for a Generative AI Engineer to build cutting-edge AI applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

If you’re passionate about building scalable AI systems that combine enterprise data with modern cloud and APIs, this role is for you.

Required Skills:
• 8+ years of software engineering experience
• Strong Python expertise
• Hands-on experience with LLMs / Generative AI
• Experience building RAG systems
• Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
• Strong experience with FastAPI / REST APIs
• Solid knowledge of SQL & data processing
• Experience with GCP
• Familiarity with Git & Docker

What You’ll Do:
• Design and develop Generative AI applications using LLMs
• Build and optimize RAG pipelines using embeddings and vector databases
• Develop scalable REST APIs using FastAPI or similar frameworks
• Apply prompt engineering and model optimization techniques
• Build and manage data pipelines for AI systems
• Deploy solutions on Google Cloud Platform (GCP)
• Implement Docker-based deployments and CI/CD pipelines
• Collaborate with cross-functional teams to integrate AI into enterprise systems

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.

This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams

Hiring Company: Creao AI

One-liner: CREAO is redefining the relationship between people and software by empowering users to create custom, conversational AI applications using natural language.

Salary:

Why Join Us:

Role Responsibilities

• Design, develop, and deploy AI agents using LLMs (e.g., GPT, Claude, open-source models)

• Build multi-step reasoning, planning, and tool-using agent workflows

• Integrate AI agents with internal systems, APIs, databases, and third-party services

• Implement evaluation frameworks to measure agent performance, reliability, and safety

• Optimize prompts, memory systems, retrieval pipelines, and agent architectures

• Collaborate with product, engineering, and design teams to translate real-world problems into AI-driven solutions

• Improve system scalability, latency, and cost efficiency

• Monitor agent behavior in production and continuously iterate based on feedback and data

• Ensure responsible AI practices, including privacy, safety, and bias mitigation

Qualitications

Required

• Strong software engineering skills in Python, TypeScript, or similar

• Experience working with LLMs, AI frameworks, or ML systems

• Understanding of agent architectures, such as: Tool use / function calling, Planning & reasoning, Memory & retrieval (RAG)

• Experience integrating APIs, databases, and distributed systems

• Ability to ship production-ready systems with reliability and observability in mind

Preferred

• Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

• Experience with vector databases (Pinecone, FAISS, Milvus, etc.)

• Knowledge of evaluation methods for generative AI systems

• Experie

• *Title: Application Security (AppSec) + AI Engineering
• *Location: Iselin, NJ (Main) and other Cyber prime locations like Minneapolis, MN, Chander AZ, Dallas, TX (Los Colinas), Charlotte, NC
• *Duration: 6 Months Contract with Possible Ext.
• *Onsite Expectation: 3 days/week (Tuesday–Thursday)
• *JD:
• *Core focus:
• *Application Security (AppSec) + AI Engineering
• *Strong Application Security background

Hands-on with AppSec tools like:
• Checkmarx (critical)
• Other SAST/DAST tools

AI-driven Code Security & Remediation (production-level experience)
• Using AI to:
• Auto-generating secure code fixes
• Detect vulnerabilities
• Generate code remediation suggestions
• Integrating AI into security workflows

Tools / Platforms
• OpenAI (PRIMARY focus)
• GitHub Copilot
• Cloud-based AI coding tools

Real Use Cases Expected
• Deploying AI tools within AppSec pipelines
• Integrating AI with tools like Checkmarx
• Automating vulnerability remediation
• Improving developer productivity using AI

Required Tech Stack
• Python
• Exposure to TensorFlow / PyTorch
• Experience with:
• JIRA (tracking)
• Confluence (documentation)
• True Engineer background required

AppSec Tools and AI tooling
• Focus on AppSec AI eng. Deploying AI toolsto complement existing Appsec tools like Checkmarx and Black Duck
• experience in deploying AI tools for AppSec processes, including auto code remediation.
• The role requires experience with models like Copilot, OpenAI, and Entropic Cloud for code remediation.
• Candidates should have production experience implementing AI tools at scale, not just proof of concept (POC) code.
• The role is specific to AppSec AI engineering, not traditional AI engineering roles.
• role involves writing frameworks against AI models to remediate Checkmarx findings, not directly working with Checkmarx queries.
• various AI models.
• *--------
• *Thanks.
• *Regards,
• *Ashish
• *Email ID: ashish@Hireontech.com**

A company is looking for a Forward Deployed AI Engineer, Customer Adoption and Innovation. Key Responsibilities Lead the technical delivery for high-profile customer Proofs of Concept (POCs) and production pilots Provide expert advice on inference sizing, configuration, and resource management for OpenShift environments Enable field teams by creating reusable assets from customer engagements, including reference architectures and field manuals Required Qualifications 10+ years of experience in technical consulting, professional services, or solutions architecture 5+ years of hands-on experience with OpenShift or Kubernetes Familiarity with inference technologies for at least 2 years Functional skills in Python for automation and library interaction Strong consulting mindset with deep technical expertise in AI inference solutions

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

Junior LLM Engineer position in Norfolk, VA.
Average annual salary: $136,950.
Salary range: $102,713 to $198,578.
Required skills include Python, Transformers, Fine-tuning, RLHF, LangChain.
This is a full-time position with competitive compensation and benefits.

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

No sponsorship available. No third-party/C2C candidates.

Applied AI Engineer, Senior or Mid-Level

Hybrid in just East Downtown Austin, TX Only - 2 days on-site, 3 Remote

This is an exclusive, off-market opportunity. Our executive client searches are confidential. Apply now to learn more about this unique new position!

We are seeking an Applied AI Engineer to join our dynamic team. As a leader in AI-driven solutions.

We specialize in building realworld AI applications that empower businesses.

In this role, you will design, implement, AIpowered applications and workflows while collaborating with cross-functional teams in a fast-paced, Agile environment.

Responsibilities
• Design, develop, and deploy AI-powered applications, data processing pipelines, chatbots, and intelligent automation tools using state-of-the-art AI models on AWS cloud infrastructure.
• Build and maintain robust backend systems using Python, with a focus on FastAPI frameworks.
• Optimize AI model inference and integrate large language models (LLMs) into scalable production environments.
• Leverage frameworks like LangChain and LangGraph to develop innovative AI solutions.

Qualifications
• 3+ years of experience as a full-stack software developer
• Exposure or recent experience with LLM projects or software professionally or at a freelance level
• Strong API development experience, including integrating AI models into production systems.
• Python development, with hands-on experience using FastAPI is a plus
• Experience with TypeScript Node.js and React.js is a must (Next.js is a plus)
• Familiarity AI frameworks such as LangChain and LangGraph is highly desirable.

Bonus Perks

As a valuable new member of the team, you will have access to a collaborative and innovative work environment, opportunities to expand your AI expertise, and the support of a highly skilled technical team.

Want to find out more about this job opportunity? Apply now!

A company is looking for a Full-Stack AI Engineer for a remote opportunity. Key Responsibilities Design, develop, and maintain enterprise-grade AI and ML solutions Integrate AI models into Microsoft Copilot Studio and manage their lifecycle on AWS SageMaker or Azure ML Collaborate with teams to embed AI services into core business systems and mentor junior engineers Required Qualifications 2-5 years of experience in software engineering, ML, and/or MLOps Proficiency in Python and ML frameworks such as Scikit-learn, PyTorch, and TensorFlow Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps Bachelor's or Master's degree in Computer Science, Data Science, or a related field Experience deploying AI pipelines in AWS SageMaker or Azure ML

A company is looking for a Software Engineer, AI Agents and Generative AI. Key Responsibilities Design, develop, and deploy AI-native software products for actionable intelligence from geospatial data Implement multi-agent workflows for autonomous reasoning and decision-making Integrate Large Language Models for contextual analysis and adaptive decision-making Required Qualifications Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field Must be a U.S. Citizen 3+ years of proven experience in software engineering and AI/ML Strong understanding of cloud-based data management and machine learning pipelines Significant software development experience with Python, JavaScript, or similar

A leading technology company is seeking a Senior AI and LLM Engineer to innovate and integrate advanced AI solutions into their workflows. The ideal candidate will have an MS in a related field, over 8 years of experience, and strong skills in Python and AI frameworks. You will collaborate with engineering teams and design AI systems to enhance efficiency. The role offers a competitive salary range of $184,000 - $287,500 based on experience and location, with remote and hybrid work options. #J-18808-Ljbffr

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

A company is looking for a Software Engineer, AI Agents and Generative AI. Key Responsibilities Design, develop, and deploy AI-native software products for actionable intelligence from geospatial data Implement multi-agent workflows for autonomous reasoning and decision-making Integrate Large Language Models for contextual analysis and adaptive decision-making Required Qualifications Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field Must be a U.S. Citizen 3+ years of proven experience in software engineering and AI/ML Strong understanding of cloud-based data management and machine learning pipelines Significant software development experience with Python, JavaScript, or similar

We’re looking for a Forward Deployed Engineer (FDE) to work onsite with our customers, serving as the primary technical presence in customer engagements, leading pilots, demos, and supporting customer evaluation and successful adoption. This role blends deep customer engagement with technical execution.

What you’ll do
• Lead customer-facing engagements, including discovery, pilots, and demos, acting as the primary technical voice in front of prospects and customers.
• Partner onsite with customers, engineers, recruiters, and business leaders to uncover developer needs, listen with empathy, and shape practical, goal-driven solutions.
• Keep customer projects on track through disciplined execution and proactive updates.
• Use the right tools, including AI when useful, to deliver faster, more reliable outcomes that strengthen HackerRank’s customer experience.
• Collaborate with Product, Engineering, and GTM teams to elevate the voice of the customer.

Who you are
• A customer-facing technical lead with enough full-stack depth to configure, debug, and explain web applications, integrations, and generate API scripts as needed (Ruby or Python).
• Confident leading conversations onsite with prospects and enterprise customers while gathering requirements, shaping technical approaches, and delivering results that drive measurable impact.
• A clear communicator who can go deep with engineers or simplify for non-technical crowds.
• A strong operator who plans, executes, and follows through, keeping projects organized.
• You lead with empathy, energy, and a problem-solver’s mindset.

Even better if you have
• Experience as a software, solutions, or sales engineer working with HR tech, ATS platforms, IDEs, developer tools, API-first or integration-heavy systems.
• A track record of seeing projects through from scoping to delivery, balancing customer needs with technical tradeoffs.

You will thrive in this role if
• You love mixing engineering, consulting, and delivery, owning e

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Senior Python LLM Engineer (W2) in Charlotte, NC Irving TX, Chandler/Phoenix AZ (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 +Months

We are seeking a contract Senior Python LLM Engineer to improve and modernize IT Operations practices across Azure, GCP, and OpenShift environments. This role will act as a hands-on operational leader and change agent, driving simplification, standardization, and improved service stability within a large-scale enterprise.

The contractor will support operational transformation efforts, facilitate major incident management, validate operational readiness, and remediate process gaps across hybrid cloud platforms.

Key Responsibilities

• Serve as a catalyst to improve IT Operations practices, migrating legacy support models to standardized, simplified frameworks.

• Define operational processes and drive adoption of enterprise best practices.

• Facilitate major incident management calls across Azure, GCP, and OpenShift environments.

• Lead post-incident reviews and ensure corrective actions are implemented.

• Deliver Operational Readiness Reviews (ORR) and assessment artifacts.

• Validate operational controls, monitoring, alerting, and support readiness prior to production release.

• Identify operational deviations and drive remediation efforts.

• Develop Python-based automation and LLM-enabled tooling to enhance operational efficiency and diagnostics.

• Partner cross-functionally

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

Description

Position at loanDepot

Position Summary:

Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.

Responsibilities:
• Designs, develops, and delivers solutions that meet business line and enterprise requirements.
• Serves as a recognized authority and internal expert in applied AI, shaping the organization's technical direction and strategy.
• Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
• Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
• Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
• Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
• Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
• Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
• Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
• Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
• Performs other duties and projects assigned.

Requirements:
• Minimum ten (10) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Two (2) + years'

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

#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

POSITION
LLM Engineer

LOCATION
Hybrid - Chicago, IL, New York City, NY, Princeton, NJ

DURATION
Contract

PAY RATE
$52.7/hour W2

INTERVIEW TYPE
Video

VISA RESTRICTIONS
None

REQUIRED SKILLS
• Experience implementing RAG and have just used managed stack, and LLM APIs
• Endpoint building chatbot using documents and enterprise data or building action models
• Python experience
• Cloud platforms (AWS, Azure, GCP), and DevOps tools

About the Company:
Syntricate Technologies Inc

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

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

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

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

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.

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.

Why Join Us
• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search

Responsibilities
• Design, build, and deploy end-to-end AI agents for business and user-facing applications
• Develop agent-driven applications, including user interaction flows and APIs
• Build and maintain agent infrastructure, including orchestration, monitoring, and reliability
• Implement and iterate on agent evaluation (quality, reliability, latency, cost)
• Collaborate closely with product and business teams to translate real problems into agent solutions
• Continuously improve agent performance using real-world feedback and data

Qualification

Required
• Familiarity with at least one programming language (e.g. Python, JavaScript, TypeScript)
• Experience with writing a lot of code, backend or full-stack
• Experience building applications
• Strong interest in AI agents and applied LLM systems
• Ability to own features end-to-end, from design to production

Preferred
• Hands-on experience using and deploying AI agents, such as: Claude Code, Codex, ClawdBot, OpenCode, or similar agent frameworks/tools
• Experience with agent orchestration, tooling, or infra
• Experience building production AI products rather than demos
• Experience in fast-moving startup environments
• Product-minded approach and comfort with ambiguous problems