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This is a full-stack engineering role at an early-stage AI infrastructure startup building an enterprise context layer that makes AI agents reliable, accurate, and secure for business-critical operations. You'll join a small, senior team and own product surfaces end-to-end — from the interfaces customers interact with, to the APIs and data models underneath. Your work directly shapes how engineers understand and trust the platform.
Own complete product surfaces end-to-end: interfaces, APIs, and underlying data models.
Make complex system behavior legible and fast for engineers using the platform.
Split your time roughly 60% on frontend and API layer work, 40% on backend services.
Define architecture, ship to production, monitor behavior, and fix what breaks.
Make design and product calls independently — no handed-down specs or design files.
Remove growth ceilings by building customer-facing surfaces that are obvious and intuitive.
5+ years building full-stack applications with shipped products in production.
Genuine full-stack capability — comfortable going deep on distributed systems while also building UI.
Proficiency with modern frontend frameworks (React, Vue, or equivalent).
Backend service development experience with proficiency in Python, Go, Node.js, Java, or equivalent.
Demonstrated ability to make architectural decisions independently and own implementation through production.
Experience designing and shipping product surfaces end-to-end without detailed specifications or design files.
Experience with databases and data modeling for systems requiring real-time performance.
Comfort with ambiguity and a strong bias toward ownership and action.
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.
On-site in San Mateo, CA, US. Full-time. Visa sponsorship is available.
