AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends, Greenfield

Role Overview

AI-Native React Engineer focused on greenfield work: building a composable React widget framework and embeddable, data-rich frontend experiences powered by AI.

You’ll lead the design and development of a widget system embeddable across multiple environments while defining architecture, component models, and developer experience in close collaboration with executive leadership.

What You’ll Build

• A composable React widget framework for embeddable environments
• Data-rich UI experiences (e.g., property profiles, owner views, interactive maps, lead workflows)
• AI-powered frontend features integrated with LLMs for exploration and user workflows
• A reusable component library with strong UX, accessibility, and developer usability

Responsibilities

• Design and implement a scalable React + TypeScript widget framework
• Build data-heavy UIs: tables, filters, maps, pagination, sorting
• Integrate REST and/or GraphQL APIs
• Support sandboxed embedding environments (iframes, CSP, host-guest communication; including iframes/web components/shadow DOM/sandboxed contexts)
• Own architecture and system design for the frontend platform
• Collaborate with leadership on scope, tradeoffs, and roadmap
• Ensure performance, UX quality, and maintainability at scale

Required Experience & Skills

• Strong React + TypeScript experience at scale
• Experience building data-heavy, complex frontend applications
• Experience with embeddable/widget-based systems (or similar architecture work)
• Experience with sandboxed iframe environments and CSP considerations
• Strong understanding of API integration (REST and/or GraphQL)
• Ability to operate in high-ownership, ambiguous greenfield environments
• Modern frontend tooling experience (e.g., Tailwind and component libraries)
• Strong communication and product thinking

Experience requirements

• Must have shipped applications serving thousands to millions of users, and be able to describe product impact and technical contributions (architecture, features, performance).

AI/Agentic-native requirements

• Cursor (or similar tools) as the primary development environment
• Use AI tools to meaningfully accelerate output
• Understand agent workflows, task decomposition, and review practices
• Ability to combine human judgment with AI-driven development workflows

Bonus Experience

• Embeddable/white-label widget systems
• Mapping: Mapbox, Leaflet, or Google Maps
• Real estate/property tech experience
• Design systems / component library architecture
• Experience helping teams transition into AI-first engineering workflows