Role description
Jeevy FabricationAt Jeevy, we're building the operating system for fabrication. As a Software Engineer focused on Knowledge Graphs, you'll architect the semantic foundation that connects engineering drawings, specifications, manufacturing processes, and project data into a unified intelligence layer. You'll design graph schemas, build high-performance ingestion and retrieval pipelines, develop AI-powered reasoning systems, and work closely with our AI and product teams to enable autonomous workflows. This is a foundational engineering role with significant ownership and the opportunity to shape how industrial knowledge is represented, queried, and understood at scale.
Requirements
Strong software engineering experience in Python, TypeScript, or similar languages.
Experience with graph databases (Neo4j, Memgraph, Neptune, RDF/SPARQL, or similar) or a strong desire to become an expert.
Familiarity with LLMs, embeddings, vector databases, RAG, or AI agent systems.
Ability to design scalable data models and distributed systems.
Strong problem-solving skills and a bias toward building simple, elegant solutions.
Excited to work in a fast-moving startup with significant ownership and autonomy.