Jobs

Our Company

At Teradata, we believe that people thrive when empowered with trusted information. Our technology disrupts current thinking and delivers innovative and trusted solutions for the world's toughest data and analytics challenges—all powered by people like you.

What You Will Do

In this role you will build the agentic systems that power Teradata's next generation of AI-driven analytics — intelligent agents that reason over enterprise data, invoke Vantage capabilities as tools, and complete multi-step analytical tasks autonomously.

You will design and implement agent skills and plugins that extend the Teradata agent harness, build evaluation frameworks to measure agent quality, and contribute to the reliability and performance of agent workflows running on Vantage. Your work directly enables customers to move from asking Teradata questions to delegating analytical tasks to AI agents.

Success looks like agents in production that solve real customer problems — with measurable accuracy, latency, and reliability benchmarks that outperform what is possible on Snowflake Cortex or Databricks Genie.

Who You Will Work With

You will join a focused team of AI engineers within Teradata's AI Apps, Analytics, and UX Engineering organization, working on the most technically ambitious part of the Teradata product roadmap. We ship code, not demos.

This role reports to the Senior Manager of AI Engineering and collaborates closely with Staff AI Engineers, the Agent Platform team, and Product Management. You will have access to Teradata's world-class data infrastructure and the opportunity to shape how enterprise agents work at scale.

What Makes You a Qualified Candidate

3–6 years of software engineering experience with at least 2 years building agentic AI systems in production — not just RAG pipelines or chatbots. Hands-on experience implementing agent skills, plugins, or tools that extend an agent harness (Claude Code, OpenCode, Codex, OpenClaw, LangGraph,

Sr. AI Engineer – Agent Orchestration

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

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

What You’ll Do

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

What We’re Looking For

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

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity At Komodo Health

Healthcare in the U.S. is a mess. Komodo Health is fixing that—with data. We’ve mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers—pharma companies, payers, and health systems—use this data to make decisions that meaningfully improve patient outcomes.

Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo’s AI-native product—designed with AI embedded directly into both the interface and the development workflow. By combining Komodo’s unmatched healthcare data with modern LLMs, Marmot is delivering some of the most compelling real-world insights of the new AI era.

Mission Of The Role

As a Staff Applied AI Engineer, you are a cr

AI Engineer – Agentic AI / LLM Systems

New York | Series A Startup

$180-$250k + Equity

In office ( 5 days)

No visa sponsorship available - OPT Visas will not be considered

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

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

The role

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

Requirements

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

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

An Application Architect/Engineer specializing in Application Automation is responsible for designing and implementing automation solutions that streamline business processes and optimize service delivery. This individual understands functional and non-functional requirements and is able to provide solution architecture and design, technical leadership, perform technology evaluation and selection, performance optimization and take care of security and compliance requirements. This role involves working closely with stakeholders to understand business needs, architecting scalable automation solutions, and ensuring the integration of these solutions into the existing IT infrastructure for the client. An application architect must have expert level knowledge on automation tools and technologies (e.g., UiPath, Blue Prism, Automation Anywhere, AI/GenAI, Workflows), Assets (Digital Workers, IT/AI Operations, Agent Assistant etc.), APIs for Watsonx/ other hyperscalers. An Application Architect should also be acquainted with IDCP (*** delivery central platform) and *** Consulting Advantage platform consisting of Methodx, assets and assistants

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

Company Overview

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable.

Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology.

Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup.

About The Role

We’re looking for a mission-driven engineer who wants to make real-world impact—fast.

At Promise, we help low-income families catch up on bills and access the financial relief they deserve. Our technology connects governments, utilities, and people—turning complex systems into simple, dignified experiences.

As a Software Engineer – Forward Deployed AI, you’ll sit at the intersection of software engineering, customer engagement, and applied AI. You’ll work hands-on with our partners to bring AI-powered solutions to life—building integrations, automations, and data workflows that help deliver public aid faster and more equitably.

This is a role for someone who loves to build, experiment, and collaborate directly with customers. You’ll see your code make a difference on day one—and you’ll learn how to bridge deep tech and human impact.

What You’l

Job Description – Agentic AI Engineer (Fresher)

Company: Transnational AI Private Limited

Location: Coppell, TX (On-site )

Work Mode: onsite

About Transnational AI:

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

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

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

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

Role Overview:

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

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

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

engineering.

Responsibilities:

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

orchestration.

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

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

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

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

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

Qualifications:

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

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

• Familiarity with APIs, databases, and cloud tools.

• Strong

Job Number: R0233768

Agentic AI Engineer

The Opportunity:

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

What You'll Work On:

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

Join us. The world can’t wait.

You Have:

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

Nice If You Have:

Experience deploying agentic systems in a production en

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

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-

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

Company Description

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

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

Role Description

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

We are looking for a Sr. Agentic AI Engineer who

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

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!

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

Role: AI Agent Developer / Agentic AI Developer

Local to MN candidates (Onsite )

Role Summary

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

Key Responsibilities

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

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

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

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

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

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

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

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

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

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

LATC Summary

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

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

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

About the Role:

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

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

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

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

AI Developer / Agentic AI Engineer

Role Summary

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

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

Responsibilities

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

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

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

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

Position: Agentic AI Engineer

Location: Chicago, IL

Duration: 12+ Months

Key Responsibilities

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

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

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

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

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

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

Required Technical Skills

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

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

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

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

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

Qualifications

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

Education: Bachelor s

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

About Eleven Recruiting

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

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

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

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

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

We Are

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

You are

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

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

The Work

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

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

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

Cloud-Native Engineering
• Leverage containerization (Kubernetes, Dock

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.

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