About The Role

ABOUT THE ROLE

Join a small, senior team building enterprise AI infrastructure — specifically a platform that gives AI agents reliable, governed, real-time context over complex business data. As a Full Stack Engineer, you'll own product surfaces end-to-end, from the interfaces engineers and customers interact with to the APIs and data models powering them. Your work directly shapes how users understand and trust the platform.

WHAT YOU'LL DO

Own complete product surfaces end-to-end: UI, APIs, and underlying data models.
Make complex distributed system behavior legible and fast through well-crafted interfaces and APIs.
Split your time roughly 60% on frontend and API layer work, 40% on backend services.
Define architecture, ship to production, monitor behavior, and own fixes when things break.
Make product and design calls independently — no handed-down specs or design files.

WHAT WE'RE LOOKING FOR

5+ years building and shipping full-stack applications in production.
Genuine full-stack capability — comfortable going deep on distributed systems while also crafting polished UIs.
Proficiency with modern frontend frameworks (React, Vue, or equivalent).
Backend service development experience in Python, Go, Node.js, Java, or equivalent.
Experience designing APIs and data models that expose complex backend behavior intuitively.
Strong architectural judgment — you can pick a direction, ship it, and own it in production.
Comfort with ambiguity; you thrive without detailed specs and take ownership of outcomes.
Experience with databases and data modeling for systems requiring real-time performance.
Nice to have: experience with knowledge graphs, semantic systems, or graph databases; distributed systems, real-time inference, or agent-based systems; developer-facing or infrastructure products; enterprise data integration.