Back End Developer

Backend Engineer (AWS-based SaaS Platform, LLM-powered)* Project: 4- to 6-week build sprint Location: Remote (2–3 h overlap with UK time) Fee: Fixed-price USD $4,000-$6,000 About Us 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. is already in place. Your brief is to layer business logic, API endpoints and a small admin UI on top of this platform, integrating an LLM-driven scoring pipeline plus a few external APIs. What You’ll Tackle *Backend feature work* •⁠ ⁠Design and ship REST or GraphQL endpoints. •⁠ ⁠Build multi-tenant data models and role-based workflows. •⁠ ⁠Trigger emails and webhooks for status changes. *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. •⁠ ⁠Surface “explanation” JSON for every model decision. *Cloud hand-offs* •⁠ ⁠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. •⁠ ⁠Provide concise hand-over docs and 30 days of post-launch bug-fix cover. Must-Have Skills •⁠ ⁠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. Nice-to-Haves •⁠ ⁠*Solution-architect background*—ability to map future services and scaling paths. •⁠ ⁠Prior LLM fine-tuning or custom-model training. •⁠ ⁠Chrome-extension data capture. •⁠ ⁠Transactional-email tooling (SES, Postmark, Mailgun). Following this sprint project there will be an additional 2-3 sprint projects of similar size to follow.