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.Job DescriptionA strong passion for staying at the cutting edge of emerging technologies, with the ability to quickly understand complex scientific literature and thoughtfully translate innovative techniques into practical, real‑world applications. Deep enthusiasm for agentic AI, backed by demonstrated expertise in applying it creatively and effectively across a wide range of domains. Broad technical capabilities 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 ConstructionExperience building agentic AI multi‑node decision systems, including RAG pipelines, semantic search, state graphs, agentic memory, and API-driven workflows.
- Agentic AI GuidanceSkilled in implementing guardrails, human‑in‑the‑loop designs, multi‑agent coordination, reflection techniques, source citation, response verification, and other methods to enhance accuracy and minimize hallucinations.
- Hands‑on experience with LangChain, LangGraph, LangSmith, Google Gemini, OpenAI APIs, OpenAI Swarm/Agents SDK, vector databases, fine-tuning, SageMaker/SageWorks, Bedrock, and Docker.
- AI‑Centered Development WorkflowProficient in research, systems architecture, code analysis, debugging, and code generation using LLM‑powered tools such as Cursor, AI Copilot, and similar platforms.
- Proof‑of‑Concept DevelopmentFull‑stack and DevOps capabilities to design and deliver high‑quality proof‑of‑concepts for agentic AI solutions.
Nice To Haves
- Strong full‑stack development background for AI‑driven applications
- Familiarity with Docker, Kubernetes, and broader DevOps methodologies
- Experience in AI research and experimental prototyping
- Excellent problem‑solving skills and strong analytical thinking
- Entrepreneurial, adaptable mindset suited for fast‑paced environments
- Clear and effective communication abilities for translating AI concepts to non‑technical stakeholders
- Capable of working both independently and collaboratively within an agile team
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
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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
