Full Stack Developer for AI Meeting Intelligence Platform

We're building an AI-powered workspace that transforms meetings into structured company knowledge. Think Granola + Notion AI + Perplexity + Linear. We're looking for an experienced Full Stack Developer who can take ownership of both frontend and backend and help us build an MVP that feels fast, polished, and production-ready. About the Product Most meeting insights disappear across Zoom recordings, Slack threads, and scattered docs. Our platform automatically turns conversations into: AI summaries Action items and follow-ups Team memory and knowledge base Searchable conversations AI chat with past meetings Project timelines and decisions Analytics and activity tracking Tech Stack Next.js 15 TypeScript Tailwind CSS ShadCN Node.js PostgreSQL Prisma OpenAI API Pinecone Vector Database Clerk Authentication Vercel Stripe Resend Google Meet, Zoom, Slack, and Notion integrations Responsibilities Build frontend and backend architecture Develop responsive dashboard interfaces Implement authentication and user management Create AI workflows and RAG pipelines Integrate OpenAI APIs Build semantic search using vector embeddings Create chat with historical meetings Design database structure and APIs Implement notifications and email workflows Optimize performance and scalability Deploy and maintain production environment MVP Features Team Workspace Multiple users, organizations, permissions, and workspaces. Meeting Processing Upload recordings or sync with Zoom and Google Meet. AI Summaries Automatic notes, decisions, and action items. AI Chat Ask questions like: "Which clients mentioned pricing concerns last month?" "What did we decide during the roadmap meeting?" Semantic Search Search across all meetings and documents. Knowledge Graph Connect people, projects, tasks, and discussions. Dashboard & Analytics Activity feed, engagement metrics, and workspace insights. Billing Stripe subscriptions and usage limits. Nice to Have Experience building AI products RAG architectures Vector databases OpenAI API experience SaaS startup experience Familiarity with Perplexity, Granola, Linear, Notion, or Superhuman-level UX Deliverables Production-ready code Frontend and backend architecture Database schema APIs and integrations Documentation Deployment setup CI/CD configuration