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 — from the interfaces customers interact with, to the APIs powering them, to the data models underneath. This is a high-ownership, high-impact role at a Seed-stage company operating in the enterprise AI infrastructure space, targeting regulated industries like insurance, banking, asset management, and healthcare. You'll spend roughly 60% of your time on frontend and API layer work , and 40% on backend services. There are no handed-down design files or specs — you make the calls, ship to production, and own the outcomes. What You'll Do Own complete product surfaces end-to-end: interfaces, APIs, and underlying data models. Make complex system behavior legible and fast for the engineers and enterprise teams using the platform. Define architecture, ship it to production, monitor its behavior, and fix what breaks. Build interfaces and APIs that expose sophisticated backend behavior through intuitive, performant UX. Work without detailed specs or design files — exercise strong judgment on what's right. Directly remove growth ceilings by making the customer-facing product obvious and intuitive. What We're Looking For Dealbreakers (must-haves): 5+ years building full-stack applications with shipped products in production. Proficiency with modern frontend frameworks (React, Vue, or equivalent); ability to build UIs that make complex system behavior legible. Backend service development experience — able to design and implement APIs and data models that support frontend requirements. Required: Experience designing and shipping product surfaces end-to-end (frontend, APIs, data models) without detailed specifications or design files. Demonstrated ability to make architectural decisions independently and own implementation through production. Proficiency with backend languages and frameworks — Python, Go, Node.js, Java, or equivalent — for building production services. Experience working with databases and data modeling for systems requiring real-time performance. Comfort operating with ambiguity; you thrive with ownership and minimal process overhead. Nice to Have: Experience with knowledge graphs, semantic systems, or graph databases. Experience with distributed systems, real-time inference, or agent-based systems. Background 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 . Full-time commitment required. Visa sponsorship is not available. Who Thrives Here You're a product-minded full-stack engineer with genuine depth on both sides of the stack. You have taste, you've shipped real things, and you're energized — not paralyzed — by the absence of a detailed brief. You want your work to matter from day one at a company where the team is small and the problems are hard.