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About the job

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. Whether you're crafting polished product experiences or building the SDKs and bindings that other developers rely on, you'll be helping make local AI truly usable.

You’ll be contributing to QVAC, our local AI stack built to bring fast, private AI directly to user devices.

This role suits engineers who thrive in a full-stack JS environment and enjoy working close to both product and platform to turn powerful AI capabilities into real-world applications.

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

Job requirements

• 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