2+ years delivering production AI/ML solutions utilizing large language models, retrieval-augmented generation (RAG), vector databases, agent frameworks such as LangChain or LangGraph, enterprise-scale knowledge repositories, and MongoDB Atlas Vector Search or comparable vector database technologies. This role spans the full technology stack, including Python-based services, agent orchestration frameworks, retrieval pipelines, containerized microservices, React-based user experiences, Kubernetes infrastructure, CI/CD pipelines, observability tooling, and enterprise integrations.