AI SaaS MVP with Next.js, OpenAI, PostgreSQL & AWS

# Senior Full-Stack AI Engineer Needed to Build AI SaaS MVP (Next.js 16, OpenAI GPT‑5, RAG, AWS, Docker) ## Project Overview We are an early-stage startup seeking a **Senior Full-Stack AI Engineer** to build and deploy a **production-ready AI SaaS MVP**. We need someone who can own the project end-to-end, including product architecture, AI integration, cloud infrastructure, automation workflows, DevOps, deployment, and handoff. The application is an **AI-powered multi-tenant SaaS platform** that allows users to upload documents, chat with an AI assistant, automate workflows, receive WhatsApp and email notifications, and manage subscriptions through a secure dashboard. --- ## Must-Have Skills * AI SaaS MVP * Next.js 16 * React * TypeScript * Node.js * Express.js or Next.js API routes * Prisma ORM * PostgreSQL * OpenAI API * GPT‑5 / GPT‑4.1 * Retrieval-Augmented Generation (RAG) * Embeddings * Vector database * Pinecone or pgvector * LangChain * AI chatbot * AI document analysis * AI automation * Workflow automation * REST API * Webhooks * WhatsApp Cloud API * AWS * EC2 or ECS * AWS Lambda * Amazon S3 * CloudFront * Route53 * Docker * Docker Compose * Kubernetes (bonus) * Nginx reverse proxy * SSL / HTTPS * GitHub Actions * CI/CD pipeline * DevOps * Serverless architecture * Production deployment * Scalable SaaS architecture * RBAC / role-based access control * Multi-tenant SaaS * Stripe subscription billing * Monitoring & logging * Analytics dashboard --- ## MVP Features * User authentication and authorization * Multi-tenant organization support * Secure dashboard * PDF, DOCX, and text upload * AI chat interface powered by OpenAI GPT‑5 * RAG pipeline with embeddings and vector search * Conversation history * AI-generated summaries and action items * Workflow automation rules * WhatsApp and email notifications * Admin panel with analytics * Usage metering and token tracking * Subscription-ready billing structure * Responsive web application * Audit logs and activity tracking --- ## Cloud & DevOps Requirements * Deploy to AWS using EC2 or ECS * S3 object storage for uploaded documents * CloudFront CDN * Dockerized services * GitHub Actions CI/CD pipeline * Nginx reverse proxy with SSL * Environment configuration for staging and production * Monitoring and centralized logging --- ## Deliverables * Fully functional deployed MVP * GitHub repository * Docker configuration * Database schema and Prisma migrations * API documentation * Infrastructure documentation * CI/CD workflow * Deployment guide * Admin handover session --- ## Ideal Candidate * Proven experience building **AI SaaS products** * Strong **Next.js + TypeScript + Node.js** expertise * Hands-on experience with **OpenAI, RAG, embeddings, and vector databases** * Strong AWS and DevOps skills * Experience deploying scalable SaaS applications to production * Excellent communication and product thinking * Ability to work independently and meet deadlines Please send links to **AI SaaS, OpenAI, RAG, automation, cloud deployment, or full-stack SaaS projects** you have built. --- ## Timeline * Start: Immediately * Architecture & setup: 3–5 days * First working AI prototype: 7 days * MVP completion: 14–21 days --- ## Budget **$3,000–$8,000 fixed price** depending on experience, portfolio, and ability to deliver a production-ready AI SaaS MVP.