Agentic AI Developer

Job Description

Our customers build innovative solutions in the financial sector. As a Agentic AI Developer you are responsible for Design and develop Agentic AIagentic solution.

Your job in one paragraph

As an Agentic AI Developer, you will be responsible for designing and developing advanced agentic AI solutions capable of autonomous planning, reasoning, and task execution. Your work will include developing and integrating Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities with external knowledge sources, multi-agent communication protocols to enable seamless collaboration and coordination among agents. Collaboration will be key, as you work cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver robust, end-to-end AI solutions.

Benefits

Cold feet? We do not know. With us, you immediately get a permanent contract.

• All the training you need to be successful as a Agentic AI Developer.
• A well-stocked suitcase with holiday pay and enough time (26 days) to spend it.
• A non-contributory pension, so you'll remember Capgemini with pleasure in your old age.
• Your first necessity as a professional: a fast laptop and a SIM card you can also use privately.
• Always on the road with your lease car or NS business card. Or opt for payment of your travel expenses. 
• And of course, a suitable salary. We will be happy to discuss this with you

Why this job is a good fit for you
- Proven experience in developing and deploying Agentic AI systems solutions, preferably in financial services
- Strong experience with prompt engineering and LLMs, like LLaMA, OpenAI, Bedrock etc
- Hands-on experience with RAG (Retrieval-Augmented Generation) architecture
- Hands on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen.
- Having experience in implementing AI Agent design patterns
- Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems, Agents based on MCP.

- Proficiency in any of the software development languages Python, Java , C# etc.
- Work Experience with cloud-based services and designing/building on the cloud, especially Azure; 
- Knowledge of governance, security, and compliance in Design and developing Agentic solutions.
- Experience with DevOps tools and CI/CD pipelines in cloud environments.

Job Description - Grade Specific