Senior AI Engineer - Generative AI & Agentic AI
Capgemini (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop Generative AI solutions including LLMs, RAG, and Agentic AI frameworks using Python.
- Build intelligent AI agents leveraging LangChain, LangGraph, and Vector Databases; develop and optimize ETL and data ingestion workflows for AI.
- Deploy, monitor, and scale AI/ML applications on cloud platforms (AWS, Azure, GCP) using MLOps and LLMOps practices, collaborating with business and engineering teams for production-grade delivery.
Minimum Requirements
- Strong Python development and backend engineering skills.
- Hands-on experience with LLMs, RAG, Agentic AI, LangChain, LangGraph, and Vector Databases.
- Proficiency in SQL, data engineering, ETL pipelines, and data processing frameworks.
- Experience deploying AI solutions on AWS, Azure, or GCP with knowledge of MLOps and LLMOps for model monitoring and optimization.
Ideal Candidate Profile
- Experienced AI engineer specialized in Generative AI and agentic frameworks with strong cloud deployment expertise.
- Background in integrating advanced AI models with production environments via scalable data pipelines and orchestration.
- Ability to collaborate effectively across business and engineering teams to deliver robust AI applications in a technology-driven enterprise setting.