Note: The job is a remote job and is open to candidates in USA. PropertyRadar is a hyperlocal lead generation platform that empowers property-centric small businesses to leverage complex public records data for actionable insights. The AI-Native UI React Engineer will be responsible for building intuitive UI/UX experiences that integrate chat-based interactions with rich product features, while employing agentic coding practices to enhance user engagement.
Responsibilities
- Build a UI/UX that delights end users by combining chat-based interactions with rich, embedded product experiences
- Create the composable React widget framework and reusable, data-rich interfaces that bring PropertyRadar’s property and owner data into new contexts
- Design and implement AI-powered features within the widgets, integrating LLM capabilities to make data exploration and lead workflows faster and more intuitive
- Develop a reusable component library with strong UX, pixel-accurate polish, and accessibility built in
Skills
- You know how to make dense, data-heavy interfaces feel clear through hierarchy, defaults, progressive disclosure, and state design
- You sweat the details: empty states, loading states, error states, interaction polish, and accessibility are part of the product, not cleanup work
- You bring deep experience with component libraries and/or design-system engineering, with a strong eye for consistency, usability, and polish
- You've supported customer bases of thousands to millions
- Cursor (or Claude Code) is your primary IDE — not a tool you reach for occasionally
- You can describe specific recent projects where agentic coding meaningfully changed your output velocity and quality — with examples
- You have opinions on agent orchestration: how to scope work for agents, when to break it up, how to review agent output, when to step in manually
- Deep working knowledge of React 18, TypeScript, Tailwind, and Radix primitives
- Production experience with Vite as a build tool for libraries, applications, or both
- You architect complex React frontends comfortably and reach for the right pattern, not the familiar one
- You've built data-heavy UIs at scale — complex tables, filters, maps, sorting, pagination — and you know how to make them performant
- You've integrated REST and GraphQL APIs with thoughtful loading, error, and edge-case handling
- You've built or shipped against sandboxed iframe architectures and understand the security model end-to-end
- You can write and reason about Content Security Policies without reaching for documentation
- You've implemented protocols between iframe and host — ideally JSON-RPC 2.0 over or a similar structured pattern — and you understand origin checks, message validation, and the failure modes
- Cross-origin behavior, third-party cookie restrictions, and the practical workarounds for embedded apps are familiar territory
- You don't wait for perfect specs. You drive clarity
- You communicate concisely in writing — important on a remote, async team
- Hands-on experience with the OpenAI component kit, or comparable embedded-app component libraries. This is a magnet bonus
- You've shipped widgets or embedded apps that run inside a third-party host environment
- Mapping libraries: Mapbox, Leaflet, Google Maps
- PropTech, real estate data, or products built for small businesses
- You've owned a design system or component platform used across multiple products or embedding contexts
- You've already been through an AI-first eng transformation at another company — you can help us avoid mistakes
Company Overview