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Middleware Engineer Fullstack remote

Remote / Online - Candidates ideally in
Peru, La Salle County, Illinois, 61354, USA
Listing for: Framework Ventures
Remote/Work from Home position
Listed on 2026-05-11
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Middleware Engineer Fullstack 100% 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.

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