Frontend Engineer - AI - React Dev
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Role details
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Job description
We are seeking a Senior/Lead Frontend Engineer with 7+ years of experience and a recent pivot toward AI-augmented development workflows. In this role, you will lead the team in shipping high-performance, real-time interfaces for financial risk management (FRM) systems, translating high-fidelity designs into clean, production-grade React, and using modern AI tooling (Cursor, GitHub Copilot, Lovable, v0.dev) to accelerate delivery without sacrificing architectural quality., * AI-Driven Development: Lead the team in leveraging Cursor and GitHub Copilot to accelerate feature delivery, refactor legacy code, and automate boilerplate.
- Figma-to-Product Execution: Translate high-fidelity Figma designs into pixel-perfect React components, using AI-assisted tools to bridge the gap between design and clean production code.
- Rapid Prototyping: Use Lovable or v0.dev to quickly iterate on internal tools and dashboards, then harden those prototypes into scalable, secure, and performant React architectures.
- Real-Time FRM Systems: Architect low-latency features (WebSockets / gRPC-web) to handle live risk-data updates, keeping the UI responsive under high data load.
- State Management Mastery: Manage complex asynchronous workflows using Redux + Sagas for sophisticated side effects, and implement TanStack Query for modern server-state synchronization.
- Performance Engineering: Ensure frequent real-time updates do not trigger unnecessary re-renders, maintaining a 60fps feel even with massive datasets.
Requirements
- 7+ Years of Professional Experience in frontend engineering, with a recent pivot toward AI-augmented workflows.
- AI Tooling Mastery: Proficiency with VSCode, Cursor (indexing, composer, and chat), and a design-to-code workflow that includes tools like Lovable.
- Design Fluency: Expert-level knowledge of Figma - auto-layouts, design tokens, and maintaining UI consistency.
- React & TypeScript Mastery: Deep understanding of React 19 patterns (Server Components, Hooks, Suspense) and strictly typed architectures.
- Real-Time Expertise: Proven experience building dynamic dashboards (e.g., live tracking, financial tickers, or risk alerts).
- Modern State Strategy: Expert implementation of TanStack Query for caching and Redux/Zustand for complex global state., * Core: React (hooks-based), TypeScript, Fusion.js (Uberβs framework)
- AI Tools: Cursor, Lovable, GitHub Copilot, Claude, v0.dev
- State: Redux + Sagas, TanStack Query, Zustand, Context API, Hooks
- Data: WebSockets, gRPC-web, GraphQL
- Design/UI: BaseUI design system, Styletron (CSS-in-JS), Figma, Tailwind CSS, Storybook
- Testing: Jest, React Testing Library, Playwright
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