13 Nov
|
Capgemini
|
Mumbai
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a team-oriented community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations
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
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Location - Bengaluru,Hyderabad,Mumbai,Pune
📌 Senior AI Engineer - Generative AI & Agentic AI (Mumbai)
🏢 Capgemini
📍 Mumbai