Senior AI SaaS Engineer (Generative AI, Automation, RAG)

We are looking for a highly experienced AI SaaS Engineer to build the MVP of a multi-tenant AI-powered content creation platform. The platform will help businesses across multiple industries (e-commerce, healthcare, restaurants, real estate, media, and professional services) generate high-quality social media content at scale using AI. This is not a simple chatbot project. We are building an AI-powered content operating system that combines knowledge bases, AI agents, content generation, image generation, video generation, workflow automation, and brand compliance. We are looking for someone who can own the technical implementation from architecture through deployment. Core Platform Features User & Workspace Management * Multi-tenant SaaS architecture * Authentication and user management * Team workspaces * Subscription-ready architecture * Project management AI Content Engine * Content idea generation * Content strategy recommendations * Caption and copy generation * Social media content planning * Multi-language support (Arabic and English) Knowledge Base & RAG * Business profile ingestion * Brand guideline ingestion * Knowledge base management * Vector search and retrieval * Context-aware content generation AI Agent Framework * Content Strategy Agent * Copywriting Agent * Image Prompt Agent * Video Prompt Agent * Brand Compliance Agent * Content Review & Scoring Agent Media Generation * Integration with image generation APIs * Integration with video generation APIs * Automated content workflows * Asset management Automation * Workflow orchestration * Queue processing * Scheduled generation * API integrations Required Skills Mandatory * Next.js * React * TypeScript * Supabase * PostgreSQL * OpenAI API * RAG / Vector Databases * Multi-Agent Systems * n8n * API Integrations * GitHub * Vercel Deployment Preferred * LangGraph * LangChain * Pinecone / pgvector * Redis * Queue Architecture * FFmpeg * Remotion * AI Image Generation APIs * AI Video Generation APIs Experience Requirements Please apply only if you can demonstrate: 1. A SaaS platform you built or significantly contributed to. 2. An AI-powered application using OpenAI or similar models. 3. Experience with RAG or knowledge-base systems. 4. Experience building production-ready web applications. 5. Experience with Supabase or similar backend platforms. Deliverables Phase 1 – MVP * Platform architecture * Authentication * Workspace management * Knowledge base system * AI content generation workflows * Multi-agent framework * Admin dashboard * Deployment Phase 2 – Advanced Features * Image generation workflows * Video generation workflows * Content scoring engine * Advanced automation * Subscription and billing architecture Application Requirements Please include: 1. Links to your best SaaS projects. 2. Links to AI applications you have built. 3. Description of your experience with Supabase. 4. Description of your experience with OpenAI APIs. 5. Description of your experience with RAG systems. 6. Your proposed technical architecture for this project. 7. Estimated timeline to deliver an MVP. Applications without relevant examples will not be considered. Engagement * Long-term opportunity * Potential ongoing development and product ownership * Flexible working hours * Preference for senior engineers who can work independently and make architecture decisions Please start your proposal with the words: “AI SaaS Architect” so we know you have read the entire job description.