Middleware Engineer Fullstack 100% remote
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About the jobYou’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.ResponsibilitiesOwn React (Expo/Electron) app development with clean, modular architectureBuild UI using modern React stack (TypeScript, RN Navigation, Zustand/Recoil/Jotai)Implement local first / local only appsIntegrate mobile apps with distributed systems, local inference, and p2p layersStrong experience with REST/WebSockets, async flows, and secure data storageAbility to build native modules (iOS/Android) when needed (with some help)Good understanding of offline-first systems, caching, and performanceComfortable 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, cryptographyQualifications5+ years of experience in Fullstack developmentExpert-level proficiency in Node.js/JavaScript for backend development and React frontend frameworkExperience with performant data handling on constrained devices (via SQLite or similar)Proven experience building and scaling distributed systems or event-driven architecturesExperience with containerization technologies (Docker) and orchestration platforms (Kubernetes)Proficiency with databases, and a deep understanding of data modeling and optimizationSolid understanding of networking, security principles, and best practices for production systemsExperience with real-time data streaming and RPC implementationsAbility to work independently in a remote environment and communicate effectively across time zonesNice to haveExperience with peer-to-peer technologies (Hyperswarm, libp2p, WebRTC) or similar distributed communication protocolsFamiliarity with AI/ML inference APIs and OpenAI-compatible endpointsPrevious experience building AI SaaS or PaaS platformsKnowledge of GPU resource management and ML framework infrastructureUnderstanding of WebAssembly or edge computing paradigmsContributions to open-source projects in relevant domains
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