Frontend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Frontend Engineer (React/Next.js): Building a B2C platform for regulatory compliance and audit-level documentation with an accent on streaming AI interfaces and complex account onboarding. Focus on implementing a contract-first architecture using OpenAPI, handling durable operation progress via SSE, and optimizing Core Web Vitals.
Location: Remote (United States)
Company
(Labrynth) builds AI-powered platforms that streamline regulatory complexity for energy, compliance, and government sectors.
What you will do
- Own the client-facing B2C experience end-to-end, including invited-account onboarding and membership UX.
- Develop a guided exploration interface based on a workspace/exploration/idea/draft model.
- Implement durable-operation progress UI using resumable SSE with cursor-polling fallbacks.
- Integrate the frontend with a TypeScript BFF consuming generated OpenAPI clients.
- Build production-quality visualizations for public graph analysis and core claims views.
- Develop a beta billing UI and entitlement display using Stripe test-mode.
Requirements
- Deep experience with React and Next.js (App Router), including server components and SSR.
- Proficiency in contract-first client consumption via OpenAPI/TypeScript in a pnpm monorepo.
- Experience building streaming agent interfaces using fetch-based resumable SSE.
- Ability to handle identity-aware UI with Amazon Cognito and opaque BFF sessions.
- Strong Tailwind CSS skills and experience building from a design system with semantic tokens.
- Availability with meaningful overlap with US and Australian project hours.
Nice to have
- Experience with graph visualization libraries for large citation/cluster networks.
- Experience building onboarding flows with file-upload quarantine UX.
- Track record of contributing reusable primitives to a shared design system.
- Experience with large data-set virtualization and rendering performance.
Culture & Benefits
- High-impact work at the intersection of AI and critical infrastructure regulation.
- Direct customer exposure and a seat at the table for product roadmap decisions.
- Modern AI-native development environment (Claude Code, Cursor, multi-model orchestration).
- Remote-first culture within a small, high-velocity engineering organization.
- Competitive compensation based on location and relevant experience.
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