About the job
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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