Key technical skills and responsibilities include: Practical knowledge of RAG systems, including hands-on experience with ChromaDB, Pinecone, Azure AI Search, or similar vector databases, with the ability to build production-grade retrieval pipelines for unstructured data. Strong experience working with Large Language Models, including prompt engineering, context management, output validation, evaluation techniques, and hallucination mitigation.