Join a senior team building enterprise AI infrastructure, focusing on a platform for real-time context over complex business data. You will own product surfaces end-to-end, from UIs to APIs and data models, shaping user understanding and trust. Requires 5+ years of full-stack experience, strong distributed systems knowledge, and modern frontend/backend proficiency.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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.
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- 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.
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On-site in San Mateo, CA. Visa sponsorship is available.
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