Why This Role Stands Out
Shape the future of AI infrastructure by owning product surfaces end-to-end, from intuitive interfaces to robust backend systems, in this impactful role at a cutting-edge AI company. You'll thrive here if you're a seasoned Full Stack Engineer eager to make critical architectural decisions and drive innovation in a collaborative, senior-led team. This is an exceptional opportunity to significantly influence a complex platform and advance your career.
Quick Overview
Job Description
About the Role
Join a small, senior team at a seed-stage AI infrastructure company building an enterprise context layer that makes AI agents reliable, accurate, and secure for critical business operations. As a Full Stack Engineer, you will own product surfaces end-to-end, from customer-facing interfaces to the APIs and data models underneath. Your work will directly shape how engineers understand and interact with a complex, distributed platform.
What You'll Do
Own complete product surfaces end-to-end, covering interfaces, APIs, and data models.
Split your time roughly 60% on frontend and API layer work and 40% on backend services.
Make complex system behavior legible and fast for engineers using the platform.
Define architecture, ship it to production, monitor its behavior, and fix what breaks.
Make product and design calls independently, without handed-down specs or design files.
What We're Looking For
5 or more years building and shipping full-stack applications in production.
Proficiency with a modern frontend framework such as React or Vue, with an eye for making complex behavior intuitive.
Strong backend fundamentals, with hands-on experience in Python, Go, Node.js, Java, or equivalent.
Experience designing and shipping product surfaces end-to-end without detailed specifications.
Comfort making architectural decisions independently and owning them through production.
Experience with databases and data modeling for systems requiring real-time performance.
A builder-oriented background with a track record of startup-speed execution.
Genuine full-stack capability, comfortable going deep on distributed systems while also touching UI.
Nice to have: experience with knowledge graphs, semantic systems, or graph databases; distributed systems, real-time inference, or agent-based systems; infrastructure or developer-facing products; enterprise data systems or data integration.
Location
On-site in San Mateo, California, United States. Visa sponsorship is available.
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