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Full Stack Engineer

ABOUT THE ROLE

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Clera Source published Sep 14, 2026 Verified 6 days ago
✓ 100% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
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Overview

ABOUT THE ROLE

Full job description

ABOUT THE ROLE Join a small, senior team at a seed-stage AI infrastructure company building an enterprise context layer that makes AI agents reliable, accurate, and secure for critical business operations. As a Full Stack Engineer, you will own product surfaces end-to-end, from customer-facing interfaces to the APIs and data models underneath. Your work will directly shape how engineers understand and interact with a complex, distributed platform. WHAT YOU'LL DO

  • Own complete product surfaces end-to-end, covering interfaces, APIs, and data models.
  • Split your time roughly 60% on frontend and API layer work and 40% on backend services.
  • Make complex system behavior legible and fast for engineers using the platform.
  • Define architecture, ship it to production, monitor its behavior, and fix what breaks.
  • Make product and design calls independently, without handed-down specs or design files. WHAT WE'RE LOOKING FOR
  • 5 or more years building and shipping full-stack applications in production.
  • Proficiency with a modern frontend framework such as React or Vue, with an eye for making complex behavior intuitive.
  • Strong backend fundamentals, with hands-on experience in Python, Go, Node.js, Java, or equivalent.
  • Experience designing and shipping product surfaces end-to-end without detailed specifications.
  • Comfort making architectural decisions independently and owning them through production.
  • Experience with databases and data modeling for systems requiring real-time performance.
  • A builder-oriented background with a track record of startup-speed execution.
  • Genuine full-stack capability, comfortable going deep on distributed systems while also touching UI.
  • 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, California, United States. Visa sponsorship is available.

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