Senior Frontend Engineer - AI Product

Role Overview

You’ll be a hands-on Senior Frontend Engineer (AI Product) building the user experience for an AI-powered platform for hardware product development. The product helps users manage structured engineering artifacts (requirements, plans, dependencies), interact with ambient AI agents, and get real-time visibility into project health.

Responsibilities

• Build production-grade React applications using TypeScript.
• Develop and maintain a shared component library and help grow 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 interaction interfaces such as:
  • streaming chat
  • proactive coordination alerts
  • AI-generated status summaries and deliverables (proposals, SOWs, reports)
• Implement portfolio-level dashboards for engineering 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.
• Participate in frontend architecture decisions, code reviews, and engineering best practices.

Requirements

• 5+ years building production web applications, with 3+ years focused on React.
• Shipped production React applications.
• Strong opinions and experience in component architecture and design systems.
• Demonstrated use of AI coding tools (e.g., Cursor, Copilot, Claude) to accelerate development.
• Expert-level React, TypeScript, and modern JavaScript.
• Experience with component-driven development and tools like Storybook.
• Proficiency with Tailwind CSS and responsive design.
• Experience with modern build tooling such as Vite (or esbuild).
• Understanding of API integration patterns (REST, OpenAPI, generated clients).
• Ability to balance fast iteration with maintainable, well-tested code.

Nice to Haves

• Early-stage 0→1 startup experience.
• Familiarity with hardware development and engineering workflows/project management.
• Experience building UIs for AI/LLM features (streaming responses, chat, structured AI output).
• Experience with headless component libraries (Base UI, Radix, Headless UI).
• Data visualization / dashboard-heavy application experience.
• Auth patterns (OIDC, JWT).
• E2E testing frameworks (Playwright, Cypress).
• Background in B2B SaaS and project/technical collaboration products.