Full Stack Engineer

About the Role

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.

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 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.

What We're Looking For

• 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.

Location

On-site in San Mateo, CA, US. Full-time. Visa sponsorship is available.