Founding Engineer

Founding Engineer — AI Infrastructure / OSS / Systems Stack: Rust, Distributed Systems, Graph Infrastructure, Lakehouse Architecture, AI Agents We’re building core infrastructure for autonomous AI systems. At the center is a lakehouse‑native graph database designed for AI agents, bringing git‑style workflows (branching, commits, merges) to typed graph data. The goal is to create a durable, versioned, queryable memory layer purpose‑built for agentic systems. The engine is open source (MIT licensed), already seeing early adoption, and backed by a broader vision around multi‑agent orchestration and forward‑deployed AI infrastructure. We’re funded, building in public, and hiring a Founding Engineer to shape both the architecture and engineering culture from day one. The Role This is not a traditional VP Engineering hire. We’re looking for a deeply technical builder who can: Write production Rust code Own technical direction across the platform Hire and mentor the first engineers Work directly with customers and integrations Help shape the OSS narrative and developer ecosystem around the product The profile is closer to an early engineering leader at Linear, Cursor, Vercel, or LanceDB than a career manager or pure OSS maintainer. What We Value The strongest candidates usually demonstrate: High agency through OSS, writing, side projects, or communities Strong first‑principles judgment Resilience and long‑term consistency The ability to attract exceptional engineers A credible public technical voice We care about engineers who have actually built foundational systems — query engines, storage layers, graph infrastructure, distributed systems, retrieval runtimes, or versioned‑data systems — not simply worked adjacent to them. Rust experience is strongly preferred. We also value people already thinking deeply about: AI memory architectures Knowledge graphs for LLMs Git-for-data systems Lakehouse infrastructure OSS business models and governance Founding Engineer DNA This is fundamentally a 0→1 environment. We want someone who: Has taken products from blank repo to real adoption Can operate across infrastructure, APIs, SDKs, and product UX Is comfortable working directly inside customer environments Combines systems depth with product instinct If building foundational infrastructure for AI agents from first principles sounds exciting, we’d love to speak. #J-18808-Ljbffr