AI Developer (Full Stack) & AI Developer (Backend)
First Girls
Manchester, UK
1 day ago
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Role details
Contract type
Voluntary work
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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)
+8 more
Backend
Git
Fastapi
Deployment Automation
Api Gateway
Restful APIs
Model Context Protocol
Software Version Control
Job 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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Requirements
- 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.
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