- Experience with AI agent development using LangChain and LangGraph
- Design and develop AI agents and workflows, build end-to-end RAG pipelines, translate business needs into AI architectures, and apply MLOps practices
Job Title: Agentic AI Developer Location: Bangalore, Hyderabad, Kolkata
Core Responsibilities AI Agent Development
- Design and develop AI agents and agentic workflows using orchestration frameworks (LangChain, LangGraph) for real business use cases.
- Build end-to-end RAG pipelines — document ingestion, chunking, embedding, vector retrieval, reranking, and grounded response generation.
- Translate business requirements into transparent AI system architectures, specifying automated functions versus those needing human review.
- Evaluate AI solutions using appropriate retrieval and generation quality metrics; build lightweight eval harnesses and monitor for drift or degradation.
Apply MLOps fundamentals — experiment tracking, model versioning, and drift detection — to maintain production AI quality over time