Our Figma screens and React frontend are ready; the remaining step is a robust backend that lets students receive AI-powered guidance in real time. I’m searching for a technical partner who can own the server side from architecture to deployment and help us ship the first live version quickly. Here is the scope you’ll tackle: • Stand up a clean Node.js or Python codebase, expose REST or GraphQL endpoints, and document them for the frontend team. • Integrate OpenAI through LangChain, connect a vector store, and deliver the three core AI capabilities we need right now—recommendation engine, natural-language chat, and predictive analytics. • Provision AWS infrastructure (VPC, IAM, CI/CD, logging, monitoring) so the platform scales safely from day one. • Build and secure a NoSQL layer—MongoDB Atlas or DynamoDB—complete with authentication, role-based access, and automated backups. • Deploy the MVP, run basic load tests, and stay on for a week of post-launch support to squash any critical bugs. Acceptance criteria 1. A source-controlled backend repository with a clear README and endpoint documentation. 2. Terraform / CloudFormation (or similar) scripts that recreate all AWS resources from scratch. 3. Functional AI endpoints returning relevant results in under one second for typical queries. 4. Deployed API and web client reachable at a public URL, served over HTTPS, with end-to-end demo video. 5. Error rates under 1 % and database, compute, and AI usage metrics flowing into CloudWatch. High ownership, speed, and problem-solving are essential—we’re taking this product from 0→1 and every decision you make will shape the experience for thousands of students. If that sounds exciting, let’s talk about timelines and how you’d approach the build.