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# AI Developer (Full Stack) & AI Developer (Backend)

- **Company:** First Girls
- **Location:** Manchester, UK
- **Contract:** Voluntary work
- **Skills:** Artificial Intelligence, Amazon Web Services, User Authentication, Cloud Computing, Network Security, SQL Databases, Systems Integration, Tokenization, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Firewalls (Computer Science), Backend, Git, Fastapi, Deployment Automation, Api Gateway, Restful APIs, Model Context Protocol, Software Version Control
- **Published:** October 9, 2026
- **Apply:** https://startup.jobs/ai-developer-role-code-first-girls-10351288

## About the Role

* Strong foundational programming skills with Python as your primary language.
 * Hands-on experience with LLM integration and advanced prompt engineering.
 * Solid understanding of RAG architectures, including vector databases, embeddings, and tokenisation.
 * Proficiency in navigating and deploying solutions using AWS services.
 * Experience with Git and standard version control practices.
 * (For Backend Focus) Deep knowledge of complex back-end integration, FastAPI (or similar frameworks), authentication, authorisation, firewalls, and API Gateways.
 * Preferred/Bonus Skills: REST APIs, Model Context Protocol (MCP), watsonx Orchestrate, CI/CD pipelines, and SQL.

## Description

Our clients are looking for AI Developers (Full Stack) & AI Developers (Backend) to join their team., * AI Feature Development: Designing, developing, and deploying AI-driven functionalities for a healthcare App.

 * LLM & RAG Management: Integrating Large Language Models and refining prompts to ensure highly accurate, secure responses. Building and managing RAG architectures and vector databases.
 * Full Stack Execution: (If Full Stack) Delivering end-to-end AI features, ensuring seamless integration between user-facing elements and complex AI back-end services.
 * Back-End Architecture: (If Backend) Architecting robust back-end systems, managing REST APIs via FastAPI, and configuring secure network layers (authentication, firewalls, API Gateways).
 * Cloud & Deployment: Leveraging AWS cloud services to host, scale, and secure AI applications while contributing to CI/CD pipelines for automated deployments.
 * Collaboration: Working closely with cross-functional teams in an agile environment, utilizing Git for collaborative version control.

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