AI Interior Design SaaS MVP Developer | Python, React & AI

We’re looking for an experienced Full-Stack AI Developer to help us build an MVP for an AI-powered interior design product. The idea is to create a platform where users can upload a photo of their room, provide details about their preferred style, colors, room type, and requirements, and receive AI-powered interior design concepts and recommendations. We already have the core product idea and are looking for someone who can help us turn it into a clean, functional MVP that we can test with real users. The MVP will include user authentication, a dashboard for managing design projects, room and image uploads, design preferences, AI-generated room concepts, multiple design variations, furniture and decor recommendations, project history, saved designs, backend APIs, database integration, and basic cloud deployment. On the AI side, we expect to use image understanding, image generation, LLM APIs, prompt engineering, image processing, and AI-powered recommendations. We’re open to your suggestions on which models and approach would work best for the MVP. The goal is to keep the initial version practical and cost-effective while making sure the architecture can scale as the product grows. For the frontend, we’re considering React or Next.js with TypeScript and Tailwind CSS. The backend can be built with Python using FastAPI or Django, with PostgreSQL or Supabase for the database. For AI, experience with OpenAI, Claude, Gemini, image generation APIs, computer vision, and frameworks such as LangChain or LangGraph would be valuable. AWS, Docker, and CI/CD experience is also preferred. We’re looking for someone with strong experience building SaaS MVPs and AI-powered applications, particularly someone who can work across the frontend, backend, AI integrations, and deployment. Experience with image generation or computer vision would be a strong plus. We’d like the developer to help us define the MVP scope, recommend the right architecture and AI approach, and then build the first working version. When applying, please share a brief introduction, relevant AI or SaaS projects you’ve worked on, your experience with image generation or AI applications, your preferred approach and tech stack for this MVP, your estimated timeline and availability, and any relevant work or GitHub links. Please also provide your estimated fixed price for building the complete MVP, along with an approximate timeline. If you believe the scope should be adjusted to stay within a specific budget, feel free to suggest a more suitable MVP approach. If the MVP goes well, there is potential for a longer-term engagement as we continue developing the product.