- 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 explicit 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.