Full Stack Engineer

About the Role A small, senior team building enterprise AI infrastructure is looking for a Full Stack Engineer to own product surfaces end-to-end. This is an early-stage company in the AI infrastructure / enterprise data space — the platform provides a unified, governed context layer that makes AI agents reliable and accurate for critical business operations in highly regulated industries (insurance, banking, asset management, healthcare, and more). You'll join a tight-knit team where your work directly removes friction for engineers using the platform and unlocks growth. There are no handed-down design files or detailed specs here — you'll make the calls, ship to production, and own the outcomes. What You'll Do Own complete product surfaces end-to-end: customer-facing interfaces, APIs, and the data models underneath. Make complex system behavior legible and fast for engineers using the platform. Split your time roughly 60% frontend / API layer and 40% backend services . Define architecture, ship it to production, monitor its behavior, and fix what breaks. Work autonomously — no design hand-offs, no over-specified tickets; you decide what's right. Remove growth ceilings by making the customer-facing product obvious and intuitive. What We're Looking For Dealbreakers: 5+ years building full-stack applications with shipped products in production. Proficiency with a modern frontend framework (React, Vue, or equivalent) — able to build interfaces that make complex system behavior legible. Backend service development experience: designing and implementing APIs and data models that support frontend requirements. Required: Demonstrated experience designing and shipping product surfaces end-to-end (frontend, APIs, data models) without detailed specifications or design files. Ability to make architectural decisions independently and own implementation all the way through to production. Experience building systems that expose complex backend behavior through intuitive interfaces and APIs. Proficiency with backend languages and frameworks — Python, Go, Node.js, Java, or equivalent — for building production services. Experience with databases and data modeling for systems requiring real-time performance. Nice to Have: Experience with knowledge graphs, semantic systems, or graph databases. Background in distributed systems, real-time inference, or agent-based systems. Experience building infrastructure or developer-facing products. Familiarity with enterprise data systems or data integration challenges. Location & Work Arrangement This role is on-site in San Mateo, CA . Visa sponsorship is available. Compensation & Benefits Compensation details were not provided for this listing. Expect equity and competitive cash compensation consistent with an early-stage, well-funded AI infrastructure company.