Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.