Full-Stack AI SaaS Developer Needed for Greenfield Product Build (Next.js / OpenAI / Python)

We are looking for an experienced full-stack developer (or small agency) to build the MVP for a B2B AI-driven SaaS platform. The product focuses on automated content generation, data analysis, and workflow automation for marketing teams. Most of the UI/UX wireframes are finalized, and we need someone to own the architecture, backend AI integrations, and frontend implementation. Core Features of the MVP: User Authentication & Workspace Management: Multi-tenant setup (Clerk or NextAuth). AI Engine Integration: Interfacing with OpenAI API (GPT-4o) and Anthropic (Claude) for structured data output, prompt chaining, and context management. Dashboard & Analytics: A clean, responsive dashboard displaying usage metrics, generated assets, and user logs. Subscription & Billing: Stripe integration for tiered monthly/annual subscriptions. Vector Database (Nice to have): Pinecone or pgvector for retrieval-augmented generation (RAG) capabilities. Tech Stack Preferred: Frontend: Next.js (App Router), Tailwind CSS, TypeScript Backend: Node.js or Python (FastAPI/Django) Database: PostgreSQL / Prisma ORM AI/LLM Tools: LangChain or LlamaIndex, OpenAI/Anthropic APIs Application Requirements (To be considered): To help us filter out automated proposals, please include the following in your response: 1. Live Links / Case Studies: Provide links to at least one AI-powered SaaS product or LLM integration you have personally built and deployed. 2. Architecture Choice: Briefly explain why you prefer either Node.js or FastAPI for handling heavy LLM API streaming and asynchronous tasks. 3. Code Sample: A link to a public GitHub repo or a short snippet showing how you handle OpenAI API error handling or streaming responses.