AI-Native UI React Engineer

PropertyRadar.com•Truckee, CA

1d•Remote

About The Position

We are looking for an AI-Native UI React Engineer to build a UI/UX that delights end users by combining chat-based interactions with rich, embedded product experiences. The goal is to create a highly intuitive experience that keeps users focused on their goals. You will create a composable React widget framework and reusable, data-rich interfaces that bring PropertyRadar’s property and owner data into new contexts. This is greenfield frontend work with direct visibility to the VP of Engineering, CEO, and Founder, and you’ll work closely with all three on scope and tradeoffs. PropertyRadar is the hyperlocal lead generation platform that property-centric small businesses use to discover, understand, and connect with new opportunities. We turn complex public records data into actionable insights for real estate investors, agents, lenders, and home services pros. We’ve been doing this since 2007. We’re profitable, owner-operated, and small enough that what you ship matters — every release moves the business. We’re investing in a modern data and frontend platform to power the next decade of growth, and we’re hiring engineers who can help us build it.

Requirements

User Experience: Know how to make dense, data-heavy interfaces feel clear through hierarchy, defaults, progressive disclosure, and state design.
Sweat the details: empty states, loading states, error states, interaction polish, and accessibility are part of the product, not cleanup work.
Deep experience with component libraries and/or design-system engineering, with a strong eye for consistency, usability, and polish.
Supported customer bases of thousands to millions.
Agentic-native development: Cursor (or Claude Code) is your primary IDE — not a tool you reach for occasionally.
Ability to describe specific recent projects where agentic coding meaningfully changed your output velocity and quality — with examples.
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.
Expert React + TypeScript: Deep working knowledge of React 18, TypeScript, Tailwind, and Radix primitives.
Production experience with Vite as a build tool for libraries, applications, or both.
Comfortably architect complex React frontends and reach for the right pattern, not the familiar one.
Experience building data-heavy UIs at scale — complex tables, filters, maps, sorting, pagination — and know how to make them performant.
Integrated REST and GraphQL APIs with thoughtful loading, error, and edge-case handling.
Embedding and iframe craft: Experience building or shipping against sandboxed iframe architectures and understand the security model end-to-end.
Ability to write and reason about Content Security Policies without reaching for documentation.
Implemented JSON-RPC 2.0 over iframes or a similar structured pattern — and understand origin checks, message validation, and the failure modes.
Familiarity with cross-origin behavior, third-party cookie restrictions, and the practical workarounds for embedded apps.
Ownership and judgment: Do not wait for perfect specs. Drive clarity. Communicate concisely in writing — important on a remote, async team.

Nice To Haves

Hands-on experience with the OpenAI component kit, or comparable embedded-app component libraries.
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.
Owned a design system or component platform used across multiple products or embedding contexts.
Already been through an AI-first eng transformation at another company — can help us avoid mistakes.
Built or contributed to agent workflows, custom Cursor rules, or developer tooling for AI-assisted engineering.

Responsibilities

Build a composable React widget framework designed to run across multiple embedding contexts — sandboxed iframes, web components, shadow DOM — with a consistent component model and clean developer ergonomics.
Develop Property and owner data experiences: profile views, owner detail panels, interactive maps, lead-gen flows, and outreach actions, all designed to be embedded and reused.
Integrate AI-powered features within the widgets, integrating LLM capabilities to make data exploration and lead workflows faster and more intuitive.
Create a reusable component library with strong UX, pixel-accurate polish, and accessibility built in.
Bring product taste and craft, caring about the difference between “it works” and “this feels great to use,” and implementing at a pixel level.
Ship at agentic-native velocity, delivering materially faster than traditional React teams because Cursor (and other agentic tools) are the primary way they work.
Own the spec, ask sharp clarifying questions, make sound tradeoffs, and ship.
Raise the team’s ceiling by sharing patterns, prompts, and orchestration techniques that make everyone faster.