Lead Engineer

Design and deploy a RAG-based knowledge service, including ingestion pipelines consolidating information from codebases, documentation, and structured data

Build agentic tooling enabling LLM agents to navigate and reason over large, heterogeneous technical corpora

Develop pipelines that synthesize knowledge artifacts at multiple levels of abstraction from low-level technical references to functional and business-oriented content

Define and maintain a domain ontology capturing NeoXam's product concepts and their relationships

• Continuously improve retrieval quality, agent reasoning, and output reliability based on real usage