• Build Core Platform Features: Develop backend services, APIs, and user-facing features across the platform. You'll work on everything from symptom tracking to lab result visualization to treatment recommendations. • Integrate Data Sources: Build integrations with wearables (Oura, Apple Health, Whoop, Garmin), lab providers, and other health data sources. Create pipelines that ingest, normalize, and store data reliably. • Contribute to AI/ML Systems: Work alongside senior engineers to build and improve our health intelligence engine—including conversational AI, recommendation models, and pattern detection. Prior ML exposure is helpful; willingness to learn is essential. • Ship Fast and Iterate: We're early stage. You'll ship code frequently, get feedback from real users, and iterate quickly. Comfort with ambiguity and a bias toward action are key. • Build with AI-Native Tools: Use Claude, Claude Code, Cursor, and other AI-assisted development tools daily. We embrace vibe coding and expect you to leverage AI to move faster and learn faster. • Learn the Healthcare Domain: You'll pick up health data concepts, compliance basics (HIPAA), and clinical terminology as you go. We'll support your learning—curiosity matters more than prior experience here.