Agentic AI Engineer

Job Description

Our customers build innovative solutions in the financial sector. In this role, you are responsible for designing and developing agentic AI solutions.

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, and 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

• You immediately get a permanent contract.
• All the training you need to be successful as an Agentic AI Developer.
• Holiday pay and 26 days of leave.
• A non-contributory pension.
• Work wherever you want on a device of your choice with our connectivity allowance.
• 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.
• A suitable salary, to be discussed.

Why this job is a good fit for you

If you think you qualify and you don't match the exact qualifications, we can always have a talk to see if there is a good match. Tell us about your:

• 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 designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen.
• Experience in implementing AI Agent design patterns.
• Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems, including agents based on MCP.
• Proficiency in software development languages such as Python, Java, or C#.
• Work experience with cloud-based services and designing/building on the cloud, especially Azure.
• Knowledge of governance, security, and compliance in designing and developing agentic solutions.
• Experience with DevOps tools and CI/CD pipelines in cloud environments.

Working at Capgemini

It starts on day one, with good onboarding and structured and transparent growth paths. There are also plenty of opportunities to pioneer and to choose your own path. You can count on trust and collegial support, while working in the international heart of innovation.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions and applications.

1. Applies scientific methods to analyse and solve software engineering problems.
2. Is responsible for the development and application of software engineering practice and knowledge in research, design, development and maintenance.
3. The work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
4. Builds skills and expertise in the software engineering discipline to reach standard software engineer skill expectations for the applicable role, as defined in Professional Communities.
5. Collaborates and acts as a team player with other software engineers and stakeholders.