Capgemini · 8 hours ago
Agentic AI Engineer
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. They are seeking an Agentic AI Engineer who will be responsible for designing, developing, and maintaining sophisticated AI-driven systems, with a strong focus on agentic AI applications and multi-node decision systems.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
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
A 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
Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI‑driven systems at scale
Experience building agentic AI multi‑node decision systems, including RAG pipelines, semantic search, state graphs, agentic memory, and API‑driven workflows
Skilled 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
Proficient in research, systems architecture, code analysis, debugging, and code generation using LLM‑powered tools such as Cursor, AI Copilot, and similar platforms
Full‑stack and DevOps capabilities to design and deliver high‑quality proof‑of‑concepts for agentic AI solutions
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
Qualification
Required
A 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
Experience building agentic AI multi‑node decision systems, including RAG pipelines, semantic search, state graphs, agentic memory, and API‑driven workflows
Skilled 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
Proficient in research, systems architecture, code analysis, debugging, and code generation using LLM‑powered tools such as Cursor, AI Copilot, and similar platforms
Full‑stack and DevOps capabilities to design and deliver high‑quality proof‑of‑concepts for agentic AI solutions
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
Preferred
Strong full-stack development background for AI‑driven applications
Familiarity with Docker, Kubernetes, and broader DevOps methodologies
Experience in AI research and experimental prototyping
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
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Recent News
Business Wire
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