Agentic AI Engineer
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.LocationThe Job location is New Jersey - Onsite HybridYour RoleWe are seeking a skilled Agentic AI Engineer with: A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications. Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains. Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale.
Requirements
- Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, state graphs/agentic memory, calling APIs
- Agentic AI Guidance: Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations
- Experience building with LangChain/LangGraph/LangSmith/Google Gemini/OpenAI's API, OpenAI's Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker
- AI Centered Coding Workflow: Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc.
Nice To Haves
- Strong knowledge of full-stack development for AI-driven 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
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
