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 — from the interfaces customers interact with, to the APIs powering them, to the data models underneath. This is a high-ownership, high-impact role at a Seed-stage company operating in the enterprise AI infrastructure space, targeting regulated industries like insurance, banking, asset management, and healthcare.
You'll spend roughly 60% of your time on frontend and API layer work, and 40% on backend services. There are no handed-down design files or specs — you 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: interfaces, APIs, and underlying data models.
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Make complex system behavior legible and fast for the engineers and enterprise teams using the platform.
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Define architecture, ship it to production, monitor its behavior, and fix what breaks.
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Build interfaces and APIs that expose sophisticated backend behavior through intuitive, performant UX.
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Work without detailed specs or design files — exercise strong judgment on what's right.
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Directly remove growth ceilings by making the customer-facing product obvious and intuitive.
What We're Looking For
Dealbreakers (must-haves):
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5+ years building full-stack applications with shipped products in production.
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Proficiency with modern frontend frameworks (React, Vue, or equivalent); ability to build UIs that make complex system behavior legible.
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Backend service development experience — able to design and implement APIs and data models that support frontend requirements.
Required:
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Experience designing and shipping product surfaces end-to-end (frontend, APIs, data models) without detailed specifications or design files.
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Demonstrated ability to make architectural decisions independently and own implementation through production.
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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 working with databases and data modeling for systems requiring real-time performance.
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Comfort operating with ambiguity; you thrive with ownership and minimal process overhead.
Nice to Have:
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Experience with knowledge graphs, semantic systems, or graph databases.
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Experience with distributed systems, real-time inference, or agent-based systems.
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Background 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. Full-time commitment required. Visa sponsorship is not available.
Who Thrives Here
You're a product-minded full-stack engineer with genuine depth on both sides of the stack. You have taste, you've shipped real things, and you're energized — not paralyzed — by the absence of a detailed brief. You want your work to matter from day one at a company where the team is small and the problems are hard.
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