Join Capgemini Engineering, a global leader in engineering services, and contribute to shaping the future of innovative companies. We empower our teams of engineers, scientists, and architects to drive digital and software technology advancements across diverse industries, from autonomous vehicles to advanced robotics.

This is a permanent role within our Products & Systems Engineering community, focusing on cutting-edge solutions. You'll be part of a responsible and diverse global group dedicated to accelerating digital and sustainable transformations for enterprises and society. Leverage your expertise to unlock the full potential of technology, with a strong emphasis on AI, generative AI, cloud, and data.

Develop and implement robust back-end systems using Python, FastAPI, and microservices architecture.

Work with Generative AI technologies including LLMs, RAG, and Agentic AI to build intelligent solutions.

Utilize agent frameworks such as LangGraph, LangChain, CrewAI, and Semantic Kernel for complex AI workflows.

Integrate AI platforms like MCP and leverage HITL and Function Calling capabilities.

Deploy and manage applications using cloud technologies like AWS, Docker, and Kubernetes, with a focus on CI/CD practices.

Design and implement APIs and event-driven architectures for seamless integration.

Focus on monitoring, observability, and telemetry, potentially using tools like LangSmith.

Apply principles of Enterprise AI, including LLMOps, AI Governance, and automation to enhance AI systems.

Proven experience as a Full Stack Developer with strong expertise in back-end technologies (Python, FastAPI, Microservices).

Solid understanding and practical experience with Generative AI concepts (LLMs, RAG, Agentic AI).

Familiarity with AI Agent Frameworks (LangGraph, LangChain, CrewAI, Semantic Kernel).

Experience with AI Platforms (MCP, HITL, Function Calling) and cloud environments (AWS, Docker, Kubernetes).

Proficiency in CI/CD pipelines, API integration, and Event-Driven Architectures.

Knowledge of Observability, Telemetry, and monitoring tools like LangSmith.

Understanding of Enterprise AI principles, including LLMOps, AI Governance, and automation.

This role is intended for experienced professionals.