Frontend Developer

Zof AI

San Francisco, Northern (CA, KY)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Zof AI is seeking a Frontend Developer to own the console where engineers monitor agent fleets, review fixes, and approve remediations. The role covers the full surface of our product interface with React, TypeScript, and Next.js, including real-time views and accessible, high-performance UIs.

Engineering · Mid-level · Full-time · On-site · San Francisco, CA. You will build real-time streaming interfaces and collaborate with design and backend engineers to ship features from sketch to production

Qualifications

  • Experience building production web apps with React and TypeScript.
  • Strong frontend fundamentals: state, rendering, and browser behavior.
  • Ability to translate designs into responsive interfaces.
  • Knowledge of accessibility and web performance best practices.
  • Excellent written and verbal communication; works well in fast-moving teams.
  • Experience using AI coding tools as part of daily work.

Responsibilities

  • Build and own the Zof AI console using React, TypeScript, and Next.js.
  • Design real-time streaming interfaces showing live agent fleets.
  • Ship review flows for inspecting fixes and approving remediations.
  • Turn dense agent evidence into clear interface states.
  • Ensure accessible, keyboard-friendly review sessions.
  • Profile and improve frontend performance under heavy live data.
  • Collaborate with design and backend engineers to ship features from sketch to production.
  • Maintain a component system that keeps the product consistent as it grows.

Skills

React
TypeScript
Frontend fundamentals
Accessibility
Performance optimization
UI development
Communication
AI coding tools

Tools

Next.js
WebSockets

Job description

Zof AI is seeking a Frontend Developer to own the console where engineers watch agent fleets work, review proposed fixes, and approve remediations. This role covers the full surface of our product interface: React and TypeScript in Next.js, real-time streaming views of agent runs, diff and evidence review flows, accessibility, and performance under heavy live data. If you have worked as a UI Engineer, React Developer, Web Developer, or Product Engineer, this is that discipline at Zof AI. The ideal candidate has shipped data-dense product interfaces, treats latency and accessibility as product requirements rather than cleanup work, and wants engineers to trust what the console shows them.

Engineering · Mid-level · Full-time · On-site · San Francisco, CA

Responsibilities
  • Build and own the Zof AI console in React, TypeScript, and Next.js.
  • Design real-time streaming interfaces that show agent fleets working live.
  • Ship review flows where engineers inspect proposed fixes and approve remediations.
  • Turn dense agent evidence into clear, readable interface states.
  • Own accessibility and keyboard-driven workflows so long review sessions stay fast.
  • Profile and improve frontend performance under heavy live data.
  • Partner with design and backend engineers to take features from sketch to production.
  • Maintain a component system that keeps the product consistent as it grows.
Requirements
  • Experience building production web applications with React and TypeScript.
  • Solid grasp of modern frontend fundamentals, including state, rendering, and browser behavior.
  • Ability to translate designs into accurate, responsive interfaces.
  • Working knowledge of accessibility and web performance practices.
  • Comfort using AI coding tools as part of daily work.
  • Clear written and verbal communication.
  • Comfort operating in a fast-moving environment.
  • Evidence of building high-quality technical work.
Nice to have
  • Experience with server components, streaming rendering, or other modern React patterns.
  • Experience with real-time data, streaming responses, or WebSockets.
  • Experience building developer tools, dashboards, or other data-dense interfaces.
  • Strong design sensibility or experience contributing to a design system.

Daily, hands-on use of AI coding tools to build and ship product interfaces is required

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