Are you passionate about the next generation of AI systems? As an Agentic AI Engineer at Capgemini, you will design and develop advanced AI solutions capable of autonomous reasoning, planning, decision-making, and execution. You will work on innovative client projects where Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures are transforming the way organizations operate and create value.
Working closely with data scientists, machine learning engineers, architects, and product teams, you will deliver robust AI solutions from concept to production.
What you'll be working on
- Designing and developing Agentic AI solutions that can autonomously reason, plan, and execute complex tasks
- Building and implementing Retrieval-Augmented Generation (RAG) architectures that enhance AI agents with enterprise knowledge and external information sources
- Developing multi-agent systems and communication frameworks that enable agents to collaborate and solve business challenges efficiently
- Integrating leading AI technologies, including LLMs, agentic frameworks, and cloud-native services, into enterprise environments
- Collaborating with data scientists, AI specialists, software engineers, and business stakeholders to deliver scalable AI solutions
- Applying software engineering, DevOps, governance, security, and compliance best practices to production-grade AI systems
- Contributing to innovation initiatives and helping clients unlock business value through the adoption of Agentic AI and Generative AI technologies
Your profile
You have:
- Proven experience developing and deploying Agentic AI solutions, preferably within enterprise environments
- Strong experience with Large Language Models, prompt engineering, and platforms such as OpenAI, LLaMA, or Amazon Bedrock
- Hands-on experience with Retrieval-Augmented Generation architectures and AI agent design patterns
- Experience with agentic frameworks such as LangChain, CrewAI, Semantic Kernel, AutoGen, or similar technologies
- Experience with Python, Java, C#, or similar software development technologies, combined with cloud platforms such as Microsoft Azure
- Conscious use of AI tools, critical evaluation of their output, and the ability to leverage technology efficiently
Preferred experience includes multi-agent communication frameworks and Model Context Protocol (MCP), DevOps, CI/CD pipelines, cloud-native application development, and AI governance, security, compliance, and responsible AI practices.
What we offer
- A permanent contract from day one and a competitive salary
- 26 vacation days, with the option to purchase additional leave days
- A company lease car, NS Business Card, or reimbursement of travel expenses
- A non-contributory pension scheme
- Flexible working and a connectivity allowance to support hybrid working
- Unlimited access to the Academy, certifications, digital learning platforms, and the latest AI training programs and tools
- Opportunities to apply the latest AI, cloud, and software engineering innovations in client projects
Your work environment
You will be part of a multidisciplinary community of AI engineers, software engineers, architects, data scientists, and cloud specialists who solve complex business challenges through technology. Capgemini provides structured growth paths, extensive learning opportunities, global communities, and access to innovative AI projects.
Recruiter contact
Maarten Di Pietro is available to discuss the role, team, and opportunities. Email: maarten.di-pietro@capgemini.com
A background check is part of the onboarding process.
About Capgemini
Capgemini is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transitions. It has 420,000 team members in more than 50 countries and delivers services across strategy, design, engineering, AI, generative AI, cloud, and data.