We are looking for Senior Full-Stack Developer (React / Node.js) AI-First. You will own features end-to-end: React on the front-end, Node.js on the back-end, deployed with Docker and Kubernetes on AWS. Small team, hands-on senior role — you ship, you deploy, you support what you build.
The team develops AI-first. AI coding tools are the default way work gets done, not an experiment. On the front-end in particular, we expect you to generate most of the UI with AI — screens, components, state, tests — and spend your time on architecture, review and product quality, not on hand-typing JSX. We expect you to already work this way.
What you will do:
- Build and ship full-stack features: React front-end + Node.js services and APIs
- Build the front-end AI-first: turn designs, specs or screenshots into working React screens using AI coding agents; generate components, forms, tables, state logic and tests; then review, harden and integrate
- Set up and maintain the AI workflow for front-end work: project rules/context files, component conventions, design-system references and prompt patterns so AI output matches the codebase
- Containerize services with Docker, deploy and operate them on Kubernetes and AWS
- Maintain CI/CD, monitoring and logging for what you own
- Review code (human- and AI-written) and work directly with the product and management team
Requirements
Must have:
- 5+ years of professional software development
- True full-stack: 3+ years where you regularly delivered both the React front-end and the Node.js back-end of the same features yourself, in production. This role requires equal depth on both sides; profiles weighted to one side only will not fit.
- Strong React: hooks, state management, performance, TypeScript
- Strong Node.js: API design, async patterns, auth, testing
- Hands-on production experience with Kubernetes, Docker and AWS
- AI-first front-end development, proven in production:
- Daily use of AI coding agents (Cursor, Claude Code, Copilot or similar) to build React UI end-to-end
- Can show real examples of screens or features built mostly with AI and explain what was kept, what was rewritten and why
- Knows how to give the agent the right context (design files, component library, existing patterns, API contracts) to get code that fits the codebase, not generic output
- Knows where AI breaks on front-end work — state bugs, accessibility, performance, inconsistent styling — and how to catch it
- AI-first across the stack: uses AI for back-end code, tests, refactoring, debugging and reviews as well; can explain how prompts, context and agent workflows are structured, and how output is verified
- Git, CI/CD, automated testing as a habit
- Independent, communicates clearly, owns a feature from idea to production
Huge bonus:
- React Native — shipped mobile apps to App Store / Google Play (OTOFusion has a React Native mobile app)
- Experience with AI design-to-code tools (Figma-to-code, v0, Lovable, Bolt or similar) as part of a real delivery flow