Lead AI Engineer / Tech Lead of Product Core

Building a reusable product core: documents → knowledge graph → hybrid search → answer with references and revision status. Responsible for architecture and development, first goal is MVP. Rate negotiable.

Build a reusable product core from scratch: documents → knowledge graph → hybrid search → answer with reference to a clause and revision status. Responsibilities: • Core architecture • Working with data • Resolving cross-references, versioning and document actuality statuses • Hybrid retrieval • Graph RAG • Evaluation • Delivery • Tech leadership

• 5+ years of backend development in Python, of which 2+ years with LLM/RAG in production (ideal) • Graph databases, ontology modeling • Vector databases, hybrid search, reranking • LLM • Experience delivering to closed environments • Leadership experience Nice to have: • GraphRAG, entity extraction/resolution • Implementations in industry or design institutes • React/TypeScript for interface and admin panel

Stack: Python (FastAPI), Neo4j / ArangoDB, Qdrant, PostgreSQL, Redis, MinIO, vLLM, React/TypeScript, Docker, Helm, AD/LDAP Location: irrelevant Rate: negotiable