Senior AI Engineer – Generative AI & Agentic AI

Your Role

• Design and develop Generative AI solutions using Python, LLMs, RAG, and Agentic AI frameworks.
• Build intelligent AI agents using LangChain, LangGraph, and Vector Databases.
• Develop and optimize ETL pipelines, data ingestion, and retrieval workflows for AI applications.
• Deploy, monitor, and scale AI/ML solutions on AWS, Azure, or GCP using MLOps and LLMOps practices.
• Collaborate with business and engineering teams to deliver production-grade AI applications.

Your Profile

• Strong experience in Python development and backend engineering.
• Hands-on experience with LLMs, RAG, Agentic AI, LangChain, LangGraph, and Vector Databases.
• Strong knowledge of SQL, Data Engineering, ETL, and data processing frameworks.
• Experience with cloud platforms (AWS/Azure/GCP) and AI deployment pipelines.
• Familiarity with MLOps, LLMOps, model monitoring, evaluation, and performance optimization.

What you will love about working here

• You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
• At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.