Designed and built scalable, general-purpose search or retrieval systems end-to-end Deep expertise in AI-powered search methodologies, including LLMs, embeddings, vector databases, and retrieval-augmented generation Strong understanding of indexing, query processing, and ranking architectures Hands-on engineer with experience leading or scaling systems and teams in fast-moving environments Worked within or closely alongside world-class AI/search organizations Proficient in Python, SQL, Docker, and microservices Familiarity in function/tool calling from an LLM Communicate with clarity and thrive in a highly collaborative, cross-functional setting