Full-Stack AI Engineer (MVP & LLM Development)

We’re Pet DNA Plus — an AI-driven platform that transforms pet DNA data into personalized wellness guidance. Unlike companies that just sell test kits, we empower pet parents to upload existing DNA reports, then use GPT-powered analysis to create an interactive, digestible report with actionable next steps. We are seeking a super sharp full-stack developer or development team to build and scale our MVP — fast. Shoestring, milestone-driven (we value efficiency & startup experience). Core MVP Features- User Account Creation & Login File Upload (PDF of pet DNA test result) GPT Integration Extract and interpret data Store in backend (preferred: Firebase or MongoDB) Generate a custom, user-friendly wellness report Interactive Chatbot to answer pet health & DNA-related questions Clean, modern UI/UX — mobile optimized (web first) Scaling & Expansion- Native Mobile Applications iOS and Android apps mirroring core web functionality Push notifications for health alerts, reminders, and new insights Integration with device APIs (camera upload, health data integrations, etc.) AI LLM Development- Build a proprietary fine-tuned model trained on genetic data, veterinary content, and Pet DNA Plus’s proprietary datasets. Move from GPT API reliance → hybrid approach with our own model for lower costs, unique IP, and competitive moat. LLM to power Geneva (our AI wellness assistant), with features such as: Personalized nutrition guidance Risk factor explanations Insurance scoring integration Preventative care plans Scalable Infrastructure- Multi-layer platform, cloud-native and extensible (AWS/GCP/Azure) Data privacy & compliance (HIPAA-like for pets). Modular architecture enabling expansion into insurance, tele-vet, marketplace, etc. Bonus if you have: Startup experience (especially health/AI SaaS) Previous AI / GPT / LLM projects Design + UX skills for conversion-optimized builds Experience scaling from MVP → growth-ready platform Job Type: Contract Pay: $5,000.00 - $10,000.00 per month Work Location: Remote