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Über
You’ll work across the JavaScript and TypeScript layer of our local AI stack. Depending on the project, you might build user-facing applications (mobile or desktop) or contribute to the platform layer that bridges our C++ inference engines with the app ecosystem. Either path puts you at the heart of making local AI usable: whether you’re crafting polished product experiences or building the SDK and bindings that other developers rely on. Responsibilities
Own React (Expo/Electron) app development with clean, modular architecture Build UI using modern React stack (TypeScript, RN Navigation, Zustand/Recoil/Jotai) Implement local first / local only apps Integrate mobile apps with distributed systems, local inference, and p2p layers Strong experience with REST/WebSockets, async flows, and secure data storage Ability to build native modules (iOS/Android) when needed (with some help) Good understanding of offline-first systems, caching, and performance Comfortable integrating SDKs (payments, crypto, AI models, etc.) Write reliable code: unit tests, E2E tests (Maestro/Appium/Playwright) Experience with TypeScript across stack (frontend + backend) Bonus: experience with distributed/P2P APIs, on-device ML, cryptography Qualifications
5+ years of experience in Fullstack development Expert-level proficiency in Node.js/JavaScript for backend development and React frontend framework Experience with performant data handling on constrained devices (via SQLite or similar) Proven experience building and scaling distributed systems or event-driven architectures Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes) Proficiency with databases, and a deep understanding of data modeling and optimization Solid understanding of networking, security principles, and best practices for production systems Experience with real-time data streaming and RPC implementations Ability to work independently in a remote environment and communicate effectively across time zones Nice to have
Experience with peer-to-peer technologies (Hyperswarm, libp2p, WebRTC) or similar distributed communication protocols Familiarity with AI/ML inference APIs and OpenAI-compatible endpoints Previous experience building AI SaaS or PaaS platforms Knowledge of GPU resource management and ML framework infrastructure Understanding of WebAssembly or edge computing paradigms Contributions to open-source projects in relevant domains
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