AI Developer
Job in
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-10-11
Listing for:
CodeFirstGirls
Full Time
position Listed on 2026-10-11
Job specializations:
-
Software Development
Backend Developer, AI Engineer (Applied/Software), Full Stack Developer
Job Description & How to Apply Below
Title
AI Developer (Full Stack) & AI Developer (Backend)
Job locationLondon, Leeds or Manchester (2 days in office per week)
DescriptionThese job roles are linked directly to free education.
THE ROLEOur clients are looking for AI Developers (Full Stack) & AI Developers (Backend) to join their team.
Depending on your experience you will either work across the full tech stack or focus heavily on robust back-end integrations to deliver cutting edge AI features.
What Experience We Are Looking For- 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.
- 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.
All of our courses are 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners.
Benefits - vary per client, but are competitive.
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