AI development support to for metabolic health application

Full-Stack AI Engineer Needed for Health & Wellness Platform (Alpha Build) Overview We are building a personalized health and wellness platform that helps users better understand their metabolic health through data, behavior change, connected health devices, and AI-powered coaching. We are seeking an experienced full-stack engineer to help build and launch an alpha product over the next 6–12 weeks. This is not a simple chatbot project. We are looking for someone who can think like a product builder, make pragmatic architecture decisions, and help bring an end-to-end consumer product to life. Scope The alpha version will include: Registration and guided onboarding flow Wellness assessment questionnaires Personalized dashboard AI Coaching + Conversational AI coach that is context aware Educational content delivery Connectivity to wearables for weight, activity, and nutrition tracking Data visualization and progress monitoring The platform will collect, store, analyze, and visualize data from multiple sources, including: Blood pressure monitors Smart scales Pedometers and activity trackers Glucose monitors Wearables and connected health devices The architecture should support integration with: Apple Health / HealthKit Android Health Connect (or equivalent Android health data framework) Experience working with health data integrations, wearable APIs, connected devices, or mobile health platforms is strongly preferred. Strong experience with: Experience with: OpenAI APIs LLM-powered applications RAG architectures AI chat interfaces Bonus experience: Consumer-facing applications Healthcare, wellness, or digital health products Mobile-responsive applications What Success Looks Like Within 6 weeks, we want a functioning MVP. We are looking for someone who: Can work independently and recommend solutions Communicates clearly and proactively Can balance speed with sound technical decisions Understands how to build scalable foundations without overengineering To Apply Please include: Links to 2–3 production applications you personally built. Examples of AI-powered products you have shipped. A brief description of your preferred technology stack for this project Your availability over the next 2–3 months.