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
#J-18808-Ljbffr
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
#J-18808-Ljbffr
Middleware Engineer Fullstack 100% remote Arbeitgeber: Framework Ventures
Logos ist ein hervorragender Arbeitgeber, der eine innovative und unterstützende Arbeitsumgebung für Fachkräfte im Bereich der dezentralen Technologien bietet. Mit einem starken Fokus auf persönliche und berufliche Weiterentwicklung sowie einer offenen und kollaborativen Unternehmenskultur fördert Logos die Kreativität und das Engagement seiner Mitarbeiter. Die Möglichkeit, an bedeutenden Projekten zu arbeiten, die die Zukunft des Internets gestalten, macht diese Position besonders attraktiv.
