Middleware Engineer Fullstack remote

About the job

You’ll work across the JavaScript and Type Script 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.

• Own React (Expo/Electron) app development with clean, modular architecture
• Build UI using modern React stack (Type Script, 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/Web Sockets, 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 Type Script across stack (frontend + backend)
• Bonus: experience with distributed/P2P APIs, on-device ML, cryptography

• 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

• 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 Web Assembly or edge computing paradigms
• Contributions to open-source projects in relevant domains