Senior Full-Stack Developer for AI-Powered Mobile App MVP (OpenAI + Supabase)

About the Project We're building a voice-first mobile application that helps gardeners capture observations, preserve lessons learned, and retrieve historical gardening knowledge through natural-language search. The goal is to transform simple voice recordings into structured gardening information that becomes increasingly valuable over time. This is an MVP-stage product with defined user flows, requirements, and a clear product vision. Product requirements, workflows, user stories, and feature specifications have already been documented and will be shared with shortlisted candidates. We are looking for a developer who can help translate that vision into a launchable product while providing technical guidance on architecture and implementation. The Problem We're Solving Gardeners learn valuable lessons every season: What worked What failed What should be repeated What should be avoided Unfortunately, much of that knowledge is forgotten or scattered across notebooks, voice memos, spreadsheets, and notes apps. We're building a tool that helps gardeners preserve and learn from their own accumulated experience. MVP Scope 1. Voice Capture Users can: Record audio directly within the app Upload existing recordings Store recordings securely 2. AI Processing Convert recordings into: Searchable transcripts Structured observations Actionable tasks Future-oriented gardening notes Users should be able to review, edit, accept, or reject AI-generated outputs. 3. Garden Memory Store and organize: Recordings Transcripts Observations Tasks Future-oriented notes Users should be able to search and browse their gardening history. 4. Ask My Garden Users can ask questions about their gardening history and receive AI-generated answers grounded in their stored records. Example questions: Which tomato varieties performed best? What problems did I have with peppers last year? What lessons have I learned about onions? When did I typically start my fall garden? Responses should be supported by relevant historical records. Preferred Technology Stack We're open to recommendations, but are currently considering: Frontend React Native or Flutter Backend Supabase Database PostgreSQL Vector Search pgvector AI OpenAI APIs Storage Supabase Storage Authentication Supabase Auth Ideal Candidate We're looking for someone with experience building: AI-powered applications Mobile applications SaaS products Search and retrieval systems API-driven products Bonus experience: Voice applications OpenAI integrations RAG / retrieval architectures Consumer subscription products Responsibilities Recommend technical architecture Build the mobile application Design backend systems Implement AI workflows Design database structure Implement search and retrieval functionality Support testing and deployment What Success Looks Like A user can: Record a garden update Receive structured AI-generated information Build a searchable gardening history Ask questions about past experiences Retrieve useful insights from prior seasons Important Context The initial MVP is intentionally focused. Our primary goal is validating user value and gathering feedback before expanding into more advanced analytics, automation, and recommendation features. We are looking for pragmatic solutions and thoughtful product development rather than premature scaling or over-engineering. Application Questions 1. Tell me about the most relevant AI-powered application you've built. What was your role and what technologies were used? 2. Have you worked with OpenAI APIs? Please provide examples. 3. Have you implemented vector search, semantic search, or retrieval systems? Please describe the architecture. 4. If you were building this MVP today, what technology stack would you recommend and why? 5. What do you see as the biggest technical risks in this project? 6. Please provide links to your most relevant: Mobile apps Portfolio projects GitHub repositories Budget & Timeline Budget is open based on experience, proposed architecture, and development approach. When applying, please include: Estimated timeline Suggested development approach Rough budget estimate Any recommendations you would make before development begins Long-Term Opportunity We're looking for a developer who enjoys building thoughtful products and may be interested in continuing beyond the MVP phase if the product gains traction. The right person will be someone who can balance speed, quality, user feedback, and practical decision-making throughout the validation process. Proposal Instructions To confirm you've read this posting, please begin your proposal with the words: Garden Memory Applications that do not answer the questions above may not be considered.