About the Role
A small, senior team building enterprise AI infrastructure is looking for a Full Stack Engineer to own product surfaces end-to-end. This is an early-stage company in the AI infrastructure / enterprise data space — the platform provides a unified, governed context layer that makes AI agents reliable and accurate for critical business operations in highly regulated industries (insurance, banking, asset management, healthcare, and more).
You'll join a tight-knit team where your work directly removes friction for engineers using the platform and unlocks growth. There are no handed-down design files or detailed specs here — you'll make the calls, ship to production, and own the outcomes.
What You'll Do
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Own complete product surfaces end-to-end: customer-facing interfaces, APIs, and the data models underneath.
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Make complex system behavior legible and fast for engineers using the platform.
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Split your time roughly 60% frontend / API layer and 40% backend services.
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Define architecture, ship it to production, monitor its behavior, and fix what breaks.
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Work autonomously — no design hand-offs, no over-specified tickets; you decide what's right.
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Remove growth ceilings by making the customer-facing product obvious and intuitive.
What We're Looking For
Dealbreakers:
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5+ years building full-stack applications with shipped products in production.
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Proficiency with a modern frontend framework (React, Vue, or equivalent) — able to build interfaces that make complex system behavior legible.
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Backend service development experience: designing and implementing APIs and data models that support frontend requirements.
Required:
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Demonstrated experience designing and shipping product surfaces end-to-end (frontend, APIs, data models) without detailed specifications or design files.
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Ability to make architectural decisions independently and own implementation all the way through to production.
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Experience building systems that expose complex backend behavior through intuitive interfaces and APIs.
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Proficiency with backend languages and frameworks — Python, Go, Node.js, Java, or equivalent — for building production services.
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Experience with databases and data modeling for systems requiring real-time performance.
Nice to Have:
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Experience with knowledge graphs, semantic systems, or graph databases.
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Background in distributed systems, real-time inference, or agent-based systems.
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Experience building infrastructure or developer-facing products.
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Familiarity with enterprise data systems or data integration challenges.
Location & Work Arrangement
This role is on-site in San Mateo, CA. Visa sponsorship is available.
Compensation & Benefits
Compensation details were not provided for this listing. Expect equity and competitive cash compensation consistent with an early-stage, well-funded AI infrastructure company.
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