Join Capgemini and empower yourself to forge your career path within a collaborative global community. We support you in reimagining possibilities and help leading organizations unlock technology's value to build a more sustainable and inclusive world.

Capgemini is a global leader in business and technology transformation, powered by AI. With nearly 60 years of heritage, we are a diverse group of 420,000 professionals across over 50 countries, delivering end-to-end solutions. We leverage our deep industry expertise and strong partner ecosystem to drive innovation in strategy, technology, design, engineering, and business operations. Our global revenues reached €22.1 billion in 2024.

Design and develop advanced Generative AI solutions leveraging Python, LLMs, RAG, and Agentic AI frameworks.

Build sophisticated AI agents using tools like LangChain, LangGraph, and Vector Databases.

Develop and optimize robust ETL pipelines, data ingestion processes, and retrieval workflows for AI applications.

Deploy, monitor, and scale AI/ML solutions across cloud platforms (AWS, Azure, or GCP) using MLOps and LLMOps best practices.

Collaborate effectively with business stakeholders and engineering teams to deliver production-ready AI applications.

Demonstrate extensive experience in Python development and backend engineering.

Possess hands-on expertise with LLMs, RAG, Agentic AI, LangChain, LangGraph, and Vector Databases.

Exhibit strong knowledge of SQL, Data Engineering principles, ETL processes, and data processing frameworks.

Showcase experience with major cloud platforms (AWS/Azure/GCP) and AI deployment pipelines.

Be familiar with MLOps, LLMOps, model monitoring, evaluation techniques, and performance optimization strategies.