Backend Developer Python

Backend Engineer (AWS-based SaaS Platform, LLM-powered)* Project: 4- to 6-week build sprint Location: Remote (2–3 h overlap with UK time) We’re a boutique consultancy spinning up an AI-enabled SaaS product. Our AWS backbone—multi-AZ VPC, ECS Fargate, ALB, Terraform IaC, logging/monitoring, IAM hardening, etc. Design and ship REST or GraphQL endpoints. • Build multi-tenant data models and role-based workflows. • AI / Retrieval-Augmented Generation* • Wire existing prompts to an LLM API (OpenAI-compatible today, private model later). • Store embeddings in a vector store and perform RAG look-ups. • Deploy new services into the existing Terraform / ECS stack—extend, don’t rewrite. • Add CloudWatch alarms, log routes and parameter-store secrets where needed. *Quality & Ops* • Write unit and integration tests and set up a lightweight CI pipeline. • Pro in *Python (FastAPI)* or *Node.js (TypeScript / Nest)*—ready to justify your pick. • Experience extending an *AWS stack (Terraform, ECS Fargate, ALB, Secrets Manager, KMS)*. • Hands-on with *LLM APIs* and at least one *vector database* (Pinecone, Weaviate, OpenSearch, etc.). • Multi-tenant data design with GDPR awareness. • CI/CD and automated-testing mindset. Prior LLM fine-tuning or custom-model training. • Chrome-extension data capture. • Following this sprint project there will be an additional 2-3 sprint projects of similar size to follow.