At 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.