Senior Frontend Engineer - AI Product

Role overview

Senior Frontend Engineer (AI Product) at Re:Build Manufacturing. You’ll build production React interfaces that help hardware teams manage structured engineering artifacts, interact with ambient AI agents, and get real-time transparency into project health across disciplines.

What you’ll do

• Build production-grade React applications using TypeScript
• Develop and maintain a shared component library and evolve the design system as the product scales
• Create rich UIs for structured engineering data, including:
  • Requirements with traceability
  • Phase/gate tracking
  • Dependency graphs
  • Task boards with discipline tags
  • Version-controlled project plans
• Build AI-agent interaction interfaces, such as:
  • Streaming chat
  • Proactive coordination alerts
  • AI-generated status summaries and deliverables (proposals, SOWs, reports)
• Implement portfolio-level dashboards for leaders/executives (cost, schedule, risk across projects)
• Write well-tested code with unit and end-to-end tests
• Collaborate with backend engineers on API integration and client SDK usage
• Contribute to frontend architecture decisions, participate in code reviews, and help establish engineering best practices

Requirements

• 5+ years building production web applications; 3+ years focused on React
• Demonstrated proficiency using AI coding tools (e.g., Cursor, Copilot, Claude) to accelerate development
• Expert-level knowledge of React, TypeScript, and modern JavaScript
• Strong component-driven development and design systems experience (including Storybook)
• Proficiency with Tailwind CSS (preferred) and responsive design
• Experience with modern build tools (e.g., Vite)
• Understanding of API integration patterns (REST, OpenAPI, generated clients)
• Ability to balance rapid iteration with maintainable, well-tested code

Nice to have

• 0-to-1 startup experience
• Familiarity with hardware development workflows or project management processes
• Experience building UIs for AI/LLM features (streaming, chat, structured AI output)
• Experience with headless component libraries (e.g., Radix, Headless UI, Base UI)
• Data visualization / dashboard-heavy applications
• Authentication/authorization patterns (OIDC, JWT)
• End-to-end testing tools (Playwright, Cypress)
• B2B SaaS/project management/technical collaboration product experience