Agentic AI Engineer

Capgemini • New York, NY

1d

About The Position

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.Job DescriptionA passion for staying at the forefront of emerging technologies with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in realworld applicationsDeep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domainsExtensive technical breadth spanning frontend and backend development large language models LLMs machine learning retrievalaugmented generation RAG and agentic AI solutionsProven experience designing developing integrating deploying and maintaining sophisticated AIdriven systems at scale

Requirements

• Agentic AI Construction Building agentic AI multinode decision models that include things like retrieval augmented generation RAG semantic search state graphsagentic memory calling APIs
• Agentic AI Guidance Adding guardrails human in the loop multiagent work flows reflection citing sources response verification and other methodologies to increase the accuracy of agentic responses and prevent hallucinations
• Technology Stack Experience building with LangChainLangGraphLangSmithGoogle GeminiOpenAIs API OpenAIs SwarmAgentsSDK vector databases finetuning SageWorks BedRock DockerAI
• Centered Coding Workflow Experience conducting research systems architecting analyzing code troubleshooting and writing code with LLMs Cursor AI Copilot etc
• Ability to Present Proof of Concepts Well frontend backend devops experience to craft proof of concepts for agentic AI solutions

Nice To Haves

• Strong knowledge of fullstack development for AIdriven applications
• Familiarity with Docker Kubernetes and DevOps methodologies
• Background in AI research and experimentation

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees