Fullstack Engineer - Frontend Focus
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Responsibilities
- Own the user experience - design, build, and polish the dashboards, consoles, and customer-facing apps that let users observe, configure, and pay for inference at scale.
- Ship end-to-end features - from Figma wireframe to React component to backend API and database migration.
- Design a component system in React + Tailwind that supports rapid iteration and a cohesive design language.
- Optimize performance - SSR, code-splitting, hydration, and WebSocket-driven real-time updates that hold up under millions of requests per day.
- Collaborate across disciplines - work shoulder-to-shoulder with distributed-systems engineers, product designers, and founders to turn complex infrastructure into delightful product.
- Level-up the team - lead design reviews, mentor junior engineers, and introduce best practices for testing, accessibility, and observability.
Requirements
- 5+ years building production React applications
- Deep knowledge of Tailwind CSS & modern CSS architecture
- Typescript mastery and strong fundamentals in JS/DOM/APIs
- Experience designing REST/JSON or gRPC backends (Node, Go, or similar)
- AuthN/AuthZ design (OIDC, JWT)
- Product sense: you care about UX details & accessibility
- Experience with Tanstack / Next.js
- Data-viz libraries (Recharts, Visx, D3)
- tRPC experience
- Familiarity with GPU or ML tooling dashboards
- Comfort debugging perf issues (Lighthouse, Chrome DevTools)
- Dev-ops chops: CI/CD, Docker, Terraform
- You don't need to tick every "nice-to-have" box-curiosity and the ability to learn quickly matter more.
Benefits
Additional Information
Inference.net is hiring a Senior Full-Stack (Frontend-Focused) Engineer Help us build beautiful, performant web experiences that give users super-powers over our globally distributed LLM inference platform. If you love shipping React apps that feel snappy at planet-scale, we'd love to meet you. About Inference.net We combine idle GPU capacity from around the world into a single cohesive plane of compute capable of serving models like DeepSeek and Llama 4. At any moment, 5,000+ GPUs and hundreds of terabytes of VRAM are connected to our network. We're a small, well-funded team working in-person from downtown San Francisco (hybrid flexibility as needed). Investors include a16z CSX and Multicoin . We're high-agency, collaborative, and obsessed with craft-whether that's a distributed scheduler or a pixel-perfect UI.
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