Jobs

We Are:

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

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

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

You Are:

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

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

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

The Work:

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

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

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

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

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

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

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

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

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

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

For more information, visit www.h2o.ai.

The Opportunity

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

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

What You

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

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about

About the Role
We are seeking an AI Development Engineer to join our AI and machine learning team. This role focuses on multimodal machine learning modeling (audio, video, image, text) and the development of AIGC systems and AI agents.

You will work on translating state-of-the-art research into scalable, real-world AI systems, including virtual humans, text-to-image, and text-to-video generation. You will collaborate closely with research, engineering, and product teams to advance next-generation multimodal and generative AI technologies.

Responsibilities

Design and develop multimodal ML models for understanding and generation across audio, video, image, and text
Build AIGC systems, including virtual humans, text-to-image, and text-to-video models
Develop AI agent systems, covering reasoning, planning, tool usage, and multi-agent collaboration
Convert cutting-edge research into scalable, production-ready AI systems

Requirements

2+ years of relevant industry experience or a PhD in Computer Science, AI, M

Job Description

Key Responsibilities

Design and implement AI-driven workflows to support and optimize the full course lifecycle, from curriculum structuring to final delivery
Build and maintain automation pipelines for curriculum outlining, content structuring, transcript processing, quiz generation, and multimedia workflows
Develop AI-assisted tools and backend systems to streamline course creation, learner support, and operational processes
Apply machine learning, natural language processing, and generative AI techniques to improve content quality, workflow efficiency, and scalability
Build and optimize data pipelines to handle educational content, including textual, video, and multimedia data
Develop analytics and reporting solutions to monitor learner engagement, workflow performance, and product effectiveness
Analyze data to identify inefficiencies, bottlenecks, and opportunities for optimization across course lifecycle workflows
Create dashboards and reporting systems to provide visibility into learner behavior, content performance, and operational metrics
Support and expand scalable AI-enabled workflows for multimedia content, including video, slides, and interactive formats
Design, develop, and maintain full-stack web applications (front-end UI + backend services) that operationalize AI workflows for course development and delivery teams
Build and document APIs and integrations (e.g., content systems, LMS tooling, analytics platforms), including authentication/authorization, observability, and error handling
Own the build, release, and deployment lifecycle for web services and applications, including CI/CD, environment configuration, and performance/security best practices
Collaborate with subject matter experts (SMEs), program teams, and stakeholders to translate requirements into practical technical solutions
Proactively identify and lead improvements across CPE workflows, taking ownership of automation initiatives and s

Company Description

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

Job Description

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

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

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

Role Name - Agentic AI Engineer

ROLE_DESCRIPTION -

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

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

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

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

Strategic/Functional

Define and drive the organization's AI strategy and roadmap aligned with business goals
Educate leadership and cross-functional teams on AI capabilities, use cases, and best practices
Identify high-impact AI/ML use cases across departments
Provide guidance on responsible AI, governance, and compliance, especially in Public Sector settings
Collaborate with stakeholders to translate business needs into AI-driven solutions
Technical

Design high-level AI/ML architectures and solution frameworks
Evaluate and recommend tools, platforms, and frameworks (e.g., cloud AI services)
Guide teams on data readiness, model lifecycle, and deployment strategies
Ensure scalability, security, and performance of AI solutions
Stay updated with the latest trends in Generative AI, LLMs, and AI platforms


Required Skills & Experience:

8+ years of experience in AI/ML, Data Science, or Solution Architecture
Proven experience as an AI Architect / AI Consultant / ML Architect
Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
Experience with cloud platforms (AWS, Azure, or GCP AI services)
Ability to communicate complex AI concepts to non-technical stakeholders
Experience in defining AI strategy and roadmaps


Preferred Qualifications:

Experience working with Public Sector / Government clients
Exposure to Generative AI / LLMs (e.g., GPT, RAG architectures)
Knowledge of AI governance, ethics, and compliance frameworks
Prior experience in advisory or consulting roles

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

Applied AI Engineer (AI-Native Marketplace)
Location: New York City (on-site, relocation supported)
Compensation: USD 170,000 – 230,000 + Equity
Hiring: Up to 2 engineers
Company: Confidential (represented by Worthland)

About the Project
Our client is a well-funded, AI-native startup building a real production marketplace in a space that has historically relied on manual workflows and human judgment.

The company has achieved clear product–market fit , is growing rapidly with a lean team, and uses AI not as an add-on but as the core decision engine of the business. Their systems directly impact matching quality, speed, and operational efficiency at scale.

This is a hands-on role for builders who want to ship AI systems that operate in messy, real-world conditions and materially move business metrics.

The Role
As an Applied AI Engineer, you will own end-to-end AI systems powering the marketplace: scoring, matching, ranking, recommendations, and internal automation.

You will work directly with the founder and operations team. There is no separate ML platform team— you own the full loop , from problem definition through production iteration.

This is not a research role and not an infra-only ML position. It is a product-focused, applied AI builder role .

Role Split (Approximate)

~60% Applied AI / ML: model selection, prompting, fine-tuning, evaluation, experimentation

~40% Product & Engineering: backend services, APIs, data pipelines, product integration

First 30 Days (What Success Looks Like)
Week 1

Develop a deep understanding of existing AI systems (scoring, matching, automation)

Identify where models perform well vs. where they fail in production

Partner with the ops team to understand manual overrides and edge cases

Align with the founder on the highest-leverage problems to solve first

Weeks 2–4

Ship meaningful improvements to scoring/matching models and related

Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.

As an Applied AI Engineer, you will lead the design, build, and deployment of AI workflows across Material Bank. You will be responsible for creating innovative, scalable, and high-performing AI systems that improve internal efficiency while strengthening the core mechanics of how we operate. Your work will span two major domains (1) internal AI enablement - automating and optimizing internal workflows (e.g. project tracking, reporting, etc.) and (2) business-embedded AI - enhancing the systems and workflows that drive revenue and growth (e.g. sales prospecting, data enrichment, user support tools, etc.)

This role requires deep cross-functional collaboration. You will partner with technical teams (Engineering, Data) and non-technical stakeholders (Sales, Operations, Marketing, and Executive Leadership) to identify high-impact opportunities and translate business needs into practical, production-ready AI solutions. You must be equally comfortable architecting systems with engineers and communicating AI capabilities, trade-offs, and ROI to senior leaders.

You will prioritize initiatives based on true organizational value, balancing speed, feasibility, scalability, and long-term impact, and educate the executive team on where AI can create meaningful advantage and where focus matters most. This role requires a deep passion for applied AI, along with demonstrated experience deploying AI solutions in production and embedding them into operational and revenue-driving workflows. AI will be foundational to how Material Bank scales, and you

WHO WE ARE

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

Role Snapshot

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

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

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

What You'll Do

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

Who You Are

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

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

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

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

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

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. The role is on a hybrid-basis, candidates must be within a commutable distance to the Irvine, CA Area or Plano, TX Area.

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 five (5) + years technical engineering experience with coding in languages inclu

About Fractional AI

Fractional AI builds bespoke software to help organizations solve complex, high-impact problems.

Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).

By joining Fractional AI, you’re stepping onto a San Francisco, NYC, NC, and Dubai-based team working on AI projects for top companies from the comfort of an engineering-first startup.

Fractional AI is launching a new enterprise division, which is physically headquartered in the Triangle of North Carolina. The enterprise division is initially focused on healthcare and life sciences (an area where our leadership team has deep experience), with plans to expand into other industries as we grow. This unique opportunity allows you to be a part of the founding team to help build the division from scratch, but with the stability and resources of an established and profitable startup.

About the Role

Joining Fractional AI as a Forward-Deployed AI Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.

“Forward-deployed” means we combine software engineering with customer-facing problem solving, owning delivery from early scoping through deployment and iteration. You’ll spend most of your time coding, but close enough to customers to shape the right solution end-to-end.

By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.

What you bring to the table
• You write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have

Company: Qualcomm Technologies, Inc.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

LLM Serving Engineer (Cloud AI Engineering )

Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.

We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.

This role involve s the following activities:

Building a scalable LLM inference platform using inference techniques ( e.g. disaggregated serving and KV - C ache management , advanced parallelism, speculative algorithms , model optimization , specialized kernels ) .

Contribute to the development of LLM Serving packages ( e.g. vLLM , SGLang , TGI, Triton -Inferen ce server , D ynamo, LLM-d ) .

Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.

Work at the fore front of Gen AI by understanding advanced algorithms ( e.g. attention mechanisms, MoEs ) and numerics to identify new optimization opportunities .

Drive efficient serving through smart autoscaling, load balancing and routing .

Engage with open - source serving communities to evolve the framework .

Candidates for this position will demonstrate the following :

Hands-on e xperience in one or more of the following LLM serving /Orchestration packages ( Triton

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

Kodiak's autonomy stack is built on AI that fuses diverse sensor streams into a unified, actionable understanding of the world. We are developing GigaFusionNet – a large-scale multimodal transformer that learns rich, joint representations across camera, LiDAR, and radar through attention-based fusion. We are looking for engineers to push the boundaries of how transformer architectures combine and reason over heterogeneous sensor data.This role is open to all levels – from those eager to contribute to cutting-edge research to experts driving innovation at scale.

In this role, you will:
• Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
• Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
• Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
• Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
• Optimize transformer models for real-time inference under latency and compute constraints

What you'll bring:
• BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
• Experience with trans

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

Job Description

Join the Legal Tech Revolution at Litera
Are you ready to shape the future of how law is practiced? At Litera, we’re on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We’ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world’s largest law firms as our clients. If you’re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that’s elevating the craft of law.

This position is based in Denver, Colorado or Raleigh, NC and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week.

About the Role
We are seeking an experienced LLM Engineer to join our newly established LLM Ops Team. In this role, you will be responsible for managing the complex lifecycle of Large Language Models from development to deployment, monitoring, and continuous improvement.

Key Responsibilities:
Model Development & Training
• Fine-tune pre-trained models for specific use cases
• Curate and prepare datasets for training
• Manage training infrastructure, resources, and computational environments
• Implement optimization techniques to improve model performance

Deployment & Serving
• Develop and manage APIs for model serving
• Scale infrastructure to handle varying demand loads
• Build and maintain the GenAI middleware/sidecar layer
• Integrate LLMs with existing systems and data sources

Monitoring & Evaluation
• Track performance metrics including latency and throughput
• Monitor quality metrics such as hallucination rates and accuracy
• Optimize costs associated with model inference and training
• Create and maintain dashboards for real-time performance insights

Testing &

Security

AI Agent Engineer - Global Security Organization

Location
:

San Jose

Employment Type
:

Regular

Job Code
:

A118975

Responsibilities

The mission of TikTok's Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users' experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates.

Trust is one of TikTok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.

The GSO provides industry-leading security and privacy services to Bytedance, guided by four principles: trust and transparency, business enablement, risk-informed decision-making, and proactive risk reduction. We strive to build sustainable, world-class security capabilities.

SecOps Validation Team (STOV) is responsible for the tools and technologies that support the TikTok infrastructure. STOV oversees technical validation, security operations, and drives engineering enhancements, including the deployment, configuration, and maintenance of security technologies across various domains.

STOV team is building domain specific AI applications to scale GSO's technical control compliance abilities. This role will work closely with STOV's product security to build AI agents which integrate with TikTok's CI/CD pipeline, providing TikTok product and development team with shift-left technical control review and implementation instructions.

As the

GAP INTERNATIONAL – A unique, purpose-driven, consulting company

ABOUT GAP INTERNATIONAL

Gap International is a global consulting firm that partners with executives to achieve breakthrough business results. We're a team of passionate problem-solvers committed to innovation and transformation. As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge solutions across the enterprise. This role offers the opportunity to work on impactful projects, including dialog-driven learning and business process acceleration.

ABOUT THE ROLE

You will be part of a tight knit, highly collaborative research and development team focused on building real-world AI applications. As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges.

You will work closely with teams to explore data, shape requirements, and integrate AI capabilities into internal tools and digital products. Your contributions will drive innovation and shape transformative projects across the organization.

RESPONSIBILITIES

Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges and improve operational efficiency.
Fine-tune foundation models and apply techniques such as retrieval-augmented generation (RAG) and prompt engineering.
Collaborate with cross-functional teams to integrate AI capabilities into internal tools, workflows, and digital products.
Evaluate and experiment with frameworks and tools like Hugging Face, LangChain, OpenAI, Claude, and LLaMA.
Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging container orchestration tools where applicable.
Lead architectural decisions and guide implementation o

Fusion Health is seeking a bright, motivated, and outgoing Applied AI Engineer to join our Value and Automation team at our Woodbridge, NJ location! We are looking for an ambitious team player who is target driven and passionate about achieving results.

About Us:

Fusion Health was founded in 2006 and provides HealthTech solutions that proactively manage the quality of life for underserved patients managed by government agencies such as Public Health, Rehabilitation & Corrections. Our mission is to deliver impactful solutions that drive efficiency for clinicians in movement-restricted communities.

Fusion Health has been recognized by INC as one of the fastest-growing private companies in the United States for four consecutive years, #38 in the NY Tri-State area, and #8 in New Jersey. Fusion has also been recognized by Deloitte on its Fast 500 list of fastest-growing technology companies in the United States.

Building a quality team takes a lot of work. Our founder and CEO, Bryan Jakovcic (EY Entrepreneur of the Year) works hand in hand with our Human Resources team and we are searching the globe for the Fusionite of tomorrow. Our team is among some of the brightest and most inspiring in the industry. To boot, they love working at Fusion so much that we have been certified as a Great Place to Work by Fortune!

We pride ourselves on our modern company culture as a vibrant and diverse group. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. Our headquarters is located in Woodbridge, New Jersey, just minutes from several major train stations. Lovingly known as HQ4, it features high-tech open working spaces, multiple meeting areas, café, a gym, and an arcade! Our satellite office locations are also equipped with state-of-the-art technologies and similar amenities.

A positive culture is a core fundamental at Fusion. While we are looking for the brightest minds around, ideal Fusionites should be strong problem solvers

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

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

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

Overview

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

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

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

Key Responsibilities

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

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

Location: Remote (Global)

Compensation: Competitive, dependent on experience

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

Reports to: Managing Partner

About HELO Solutions

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

About the Role

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

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

Responsibilities

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

Agentic AI Engineer

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

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

Join us. The world can’t wait.

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

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

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

What You’ll Be Doing

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

Who You Are

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

Deep and proven experience with agentic engineering

Experience shipping AI-first applications at scale

Experience using AI effectively to contribute cross-platform

Demonstrable sense of Product, QA, and DevX

Ability to work autonomously in a fast‑paced environment

What You’ll Own

Co-ownership of AI-first SDLC

MCP/ML tooling

Contribute to prompting standards across the engineering team

Define and enforce benchmarks for AI applications

Work with Product and Engineering leadership to define AI roadmap

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

What Helps You Succeed

Craftsmanship and Extreme Ownership

Open-mindedness

Frequent, direct, honest, kind communic

Who We Are:

Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.

Forward Deployed Engineer

Location: Huntsville, Alabama

Work Environment: Hybrid

Role Summary:

Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world's most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions.

From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments.

Forward Deployed AI Engineers work directly with government and defense customers to understand their most complex operational challenges and design and implement AI-driven solutions to solve them.

Our customers rely on Exiger's platform to support mission-critical operations — often beginning with open-ended questions such as:

"Where are vulnerabilities hidden in our supply chain?"
"How can we proactively detect and mitigate risk before it impacts readiness?"
"How do we modernize fragmented legacy systems into a unified intelligence capability?"

As a Forward Deployed AI Engineer, you will combine engineering depth, AI/ML expertise, and mission understanding to deliver scalable, producti

We Are:

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

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

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

You Are:

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

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

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

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

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

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

At Lawyer.com, we are revolutionizing how people connect with leading legal professionals. We are looking for an exceptional builder to join our team in a fast-paced environment.

But we are not looking for a traditional engineer who stares at a blank screen and writes code by hand. We are hiring a Model Jockey.

Your job is to build and deploy AI-powered applications, voice solutions, and text agents that drive real business value. You will act as an orchestrator, steering multiple AI instances in parallel to write code, review architecture, and automate complex workflows. You will direct the models, shape their output, catch their mistakes, and ship products faster than a traditional engineering team ever could.

Requirements

Core
• 3 years of Model Jockey experience. (Read here for a definition of a Model Jockey: https://medium.com/@rybeswick/heads-up-knowledge-workers-your-last-job-is-model-jockey-974edf9c1b60)
• Bachelor's degree in Computer Science, AI, or a related field.
• Systems-Level Engineering Instincts: We do not care what specific languages or frameworks you have memorized. We care that you understand underlying architecture, logic, and data flow. You will not be fixing code by hand. Instead, you need the engineering instincts to spot when a model is taking the wrong approach and the ability to rapidly direct the AI to debug and correct its own work in any stack.
• Technology-Agnostic Mindset: You are wired to figure things out. If a project requires a new database, API, or cloud environment, you do not spend weeks reading documentation. You spin up an agent, give it the context, and start building immediately.
• Parallel Orchestration: Proven ability to run multiple AI agents (like Claude Code, OpenAI, GitHub Copilot) simultaneously without losing the thread.
• Strategic Inquiry and Prompting: Knowing how to ask the right questions to pull the best work out of models, creating effective workflows for complex tasks, and optimizing for accuracy.
• Hum

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?

General Information

Req #

WD00096081

Career area:

Artificial Intelligence

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Friday, March 6, 2026

Working time:

Full-time

Additional Locations:
• United States of America - North Carolina - Morrisville

Why Work at Lenovo

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

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

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

Description and Requirements

LATC Summary:

Lenovo AI Technology Center (LATC) is Lenovo’s global AI Center of Excellence, fueling the enterprise’s transformation into an AI-first organization. As a world-leading computing company, Lenovo offers a full spectrum of technology products and solutions, covering wearables, Motorola smartphones, ThinkPad/Yoga laptops, PCs, workstations, servers, and end-to-end services. This unparalleled product breadth creates a unique canvas for AI innovation, enabling rapid deployment of cutting-edge foundation mod

Who we are at Osmo:

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory.

Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.

The Role
We are hiring a Forward Deployed AI Engineer to help build Osmo’s enterprise solutions business.
You will work directly with leading consumer packaged goods (CPG) companies to solve complex fragrance challenges using AI. This role sits at the intersection of engineering, product, and commercial teams.
You will translate customer problems into technical solutions, build rapid prototypes, and deploy systems that deliver measurable value.

What You’ll Do
Work directly with customers

Partner with leading CPG companies to understand product and fragrance challenges

Translate business problems into technical solutions

Build prototypes and solutions

Develop AI-driven prototypes that demonstrate value and unlock deals

Collaborate with internal engineering teams to turn prototypes into deployable systems

Support enterprise engagements

Provide technical leadership during customer discussions and negotiations

Help design scalable solutions for enterprise deployments

Own implementation

Serve as the technical lead during pilots and deployments

Ensure successful delivery and adoption of Osmo solutions

Help build a new business
Identify repeatable solutions across customers

Contribute to building a $100M enterprise solutions business

Who You Are
Strong sof

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

Description

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

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

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

Preferred Qualifications

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

Experie

We Are:

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

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

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

You Are:

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

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

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

The Work:

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

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

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

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

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

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

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Sr. Staff Machine Learning Engineer – AI Agent Platform

Position Description

GEICO is seeking an exceptional Sr. Staff ML Engineer to join our AI organization. You will serve as a technical leader and key architect for GEICO's virtual assistant platform that elevates productivity for 30K+ internal associates and the customer experience for millions of policyholders.

Sr. Staff AI Agent Platform Engineers set the technical vision and drive the architecture of multi-tenant services that power the building, testing, deployment, and hosting of LLM-based AI agents. This includes multi-agent orchestration, standardized interoperability protocols (MCP, A2A), AI agent skill ecosystems with marketplace and governance capabilities, production-grade harness & context engineering, and guardrail frameworks for safe autonomous operation at enterprise scale.

Responsibilities
• Technical Vision & Architecture: Define the long-term technical strategy for GEICO's AI agent platform — including multi-agent orchestration, AI agent lifecycle management, evaluation frameworks, skill registries and marketplace, and workflow orchestration.
• AI Agent Skills & Marketplace: Architect an enterprise skill ecosystem — reusable capability packages that encode domain expertise and workflows into portable, discoverable modules. Build and govern an internal skill marketplace with versioning, security vetting, approval workflows, progressive