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Clera

Full Stack Engineer

remote (Remote)fulltimemidAdded 2 days ago

About this role

A Seed-stage enterprise AI infrastructure company seeks an experienced Full Stack Engineer to own product surfaces end-to-end—from customer-facing interfaces to APIs and data models. You'll operate with high autonomy in a small senior team, spending roughly 60% of your time on frontend/API work and 40% on backend services, shipping to production and owning outcomes without detailed specifications.

What you'll do

  • Own complete product surfaces end-to-end: interfaces, APIs, and underlying data models
  • Design and ship architectures to production, then monitor and fix issues independently
  • Build intuitive UIs and performant APIs that expose sophisticated backend behavior
  • Make architectural decisions independently without detailed specs or design files
  • Remove growth ceilings by making customer-facing products obvious and usable
  • Work across the full stack to make complex system behavior legible for engineers and enterprise teams

What they're looking for

  • React, Vue, or equivalent modern frontend frameworks
  • Backend languages: Python, Go, Node.js, Java, or equivalent
  • API design and implementation
  • Database design and data modeling for real-time systems
  • Full-stack architecture and independent decision-making
  • Product thinking and UX sensibility
  • Distributed systems and production operations
  • Knowledge graphs, semantic systems, or graph databases (nice-to-have)
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a product surface you owned end-to-end—from UI design through data model—without detailed specs. How did you make architectural decisions?
  • Describe your experience building frontend UIs that make complex system behavior intuitive. What's an example where you significantly improved legibility?
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