New Build End-to-End RetireesParadise
Publicada el 2026-07-22
Descripción de la oferta
I am spinning up a green-field SaaS that serves many facilities under one roof, so every line of data must respect facility-tagged, row-level security in PostgreSQL via Supabase. The stack is already chosen; what I need is someone who can put all the pieces together and ship production-ready code. Frontend – Next.js (React + TypeScript) with user authentication, real-time updates, and a rich analytics dashboard. I expect optimistic UI, WebSocket/Subscribers (Supabase or similar) for live data, and a crisp component library (MUI, Tailwind or your suggestion). Backend – A Node.js API (also TypeScript) that exposes REST endpoints to the frontend, enforces multi-tenant rules, and triggers n8n webhooks for SMS, email, and in-app notifications. – A separate Python FastAPI microservice dedicated to AI work: text generation and broader natural-language processing powered by OpenAI and Claude, implemented with Retrieval-Augmented Generation so we can feed domain documents for higher accuracy. Data – PostgreSQL on Supabase with schema migrations, RLS policies, and automated seed scripts. Hosting & DevOps – AWS deployment (ECS or Lambda for Node, ECR for FastAPI, S3/CloudFront for static assets), wired into GitHub Actions for CI/CD. I should be able to push to main and watch the entire suite test, build, and ship. Automation – n8n flows you configure for outbound SMS, email, and internal notifications using the backend’s webhooks. Deliverables • Responsive Next.js app with auth, live updates, and analytics dashboard • Node.js API with full CRUD, RLS enforcement, Swagger docs, and unit tests • FastAPI AI service with RAG pipeline, OpenAI/Claude integration, and test suite • n8n workflow JSON with clear triggers and actions • Infrastructure as Code (Terraform or CDK) and GitHub Actions pipelines • README plus a short Loom video walkthrough explaining setup and deployment Acceptance Criteria 1. A fresh AWS account can be cloned, configured, and deployed end-to-end with one command. 2. Switching facility IDs in auth token immediately scopes all queries and real-time feeds. 3. AI endpoints return contextual answers using supplied reference docs with ≥90 % relevance in provided test set. 4. All critical paths covered by automated tests and passing in CI. If this sounds like your wheelhouse, tell me how you’d tackle the multi-tenancy layer first, then outline your preferred AWS deployment pattern.
Skills
- Node.js
- REST APIs
- JavaScript
- PostgreSQL
- Next.js
- FastAPI
- RAG
- Python
- MongoDB
- Angular
- Terraform
- React
- AWS
- NLP
- GitHub Actions
- TypeScript
- WebSocket
- Tailwind CSS
- Supabase
- OpenAPI
Fuente original: freelancer