Job Title:
Full-Stack / Mobile App Developer — Fitness & Wellness Apps (Flutter / NestJS / Next.js)
About the Role
We're looking for a full-stack developer to join our team building consumer and B2B fitness technology products — including a member-engagement mobile app and a tablet-based gym front-desk/lead-conversion system. You'll work across mobile, backend, and web, often integrating third-party APIs and AI-driven features into production apps. We're an AI-forward team — Claude and similar tools are part of our day-to-day workflow, not an afterthought.
What You'll Work On
- Feature development across Flutter (mobile), NestJS (backend/API), and Next.js (web/admin dashboards)
- Integrating platform health APIs (HealthKit / Health Connect) and third-party data APIs (e.g., nutrition/food databases)
- Building AI-powered features — photo recognition, computer vision, generative AI pipelines (image/video)
- Payment systems, subscription/paywall logic, and App Store/Play Store compliance
- Production hardening: security fixes, database optimization (Prisma/Postgres), connection pooling, backup strategy
- Push notification systems (Firebase/APNs) and deep-linking/referral systems
- Building internal tooling and approval workflows (FastAPI/Next.js)
- Working with automation pipelines (n8n) connecting apps to marketing/content workflows
Requirements
- Strong experience with Flutter for cross-platform mobile development
- Backend experience with NestJS or similar Node.js frameworks (GraphQL/REST)
- Frontend experience with Next.js/React
- Familiarity with Python/FastAPI a strong plus
- Experience with Postgres, Prisma or similar ORMs
- Comfortable working with third-party API integrations and cloud storage (e.g., Cloudflare R2, S3)
- Understanding of production concerns: security (SQL injection, race conditions, JWT handling), CI/CD, environment separation
- Bonus: experience with AI/ML tooling (pose detection, MediaPipe, generative video/audio APIs like Kling AI or ElevenLabs)
AI-Assisted Development Skills (Important)
- Hands-on experience using Claude Code (or similar agentic coding tools) for day-to-day development — writing, debugging, and refactoring code with an AI pair-programmer
- Comfortable using Claude (or GPT-class LLMs) for tasks like scaffolding features, generating tests, reviewing diffs, and writing documentation
- Practical prompt-engineering skills — able to break down a feature into clear, well-scoped instructions for AI tools rather than vague asks
- Experience integrating LLM APIs (Anthropic API, OpenAI API, etc.) into product features — function/tool calling, structured JSON output, streaming responses
- Familiarity with building AI-powered pipelines (e.g., n8n + LLM steps) for automation, content generation, or data enrichment
- Judgment to know when to trust AI-generated code vs. when to verify/rewrite — we care about code quality, not just speed
- Bonus: experience with MCP (Model Context Protocol) integrations, or building internal tools/dashboards on top of Claude or other LLM APIs
What We're Looking For
- Someone who can own a feature end-to-end — from API design to shipped, tested mobile release
- Comfort working in a small, senior team where you'll touch multiple layers of the stack
- Fluent with AI-assisted workflows as a force multiplier, not a replacement for engineering judgment
- Startup/consultancy mindset: pragmatic, ships fast, documents well