AI Developer

Code First Girls

. Design, develop, and deploy AI-driven functionalities for a healthcare app .

Posted 10/8/2026contractManchester • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI-driven functionalities within healthcare applications, with a strong focus on integrating Large Language Models and managing RAG architectures. Proficient in utilizing AWS services for secure and scalable solutions while collaborating effectively in agile environments.

Highest-signal resume keywords

Python ProgrammingLLM IntegrationRAG ArchitectureAWS ServicesFastAPI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Functionality DesignPrompt EngineeringVector Database ManagementREST API DevelopmentCI/CD Pipeline Contribution

Soft Skills

CollaborationAgile Methodology

Tools & Technologies

GitFastAPIAWS Cloud Services

Industry Keywords

Healthcare ApplicationsAuthenticationAuthorizationFirewallsAPI Gateways

Tech Stack

Tools & technologies

AWSCloudFirewallsPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI-driven functionalities for a healthcare app
Integrate Large Language Models and refine prompts for highly accurate, secure responses
Build and manage RAG architectures and vector databases
For Full Stack: Deliver end-to-end AI features integrating user-facing elements with complex AI back-end services
For Backend: Architect robust back-end systems
For Backend: Manage REST APIs via FastAPI
For Backend: Configure secure network layers, including authentication, firewalls, and API Gateways
Leverage AWS cloud services to host, scale, and secure AI applications
Contribute to CI/CD pipelines for automated deployments
Work closely with cross-functional teams in an agile environment
Use Git for collaborative version control

Requirements

What you’ll need

Strong foundational programming skills with Python as the 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
For Backend Focus: Experience with FastAPI or similar frameworks
For Backend Focus: Knowledge of authentication, authorisation, firewalls, and API Gateways
Preferred/Bonus Skills: REST APIs, Model Context Protocol (MCP), watsonx Orchestrate, CI/CD pipelines, and SQL
Applicants must be able to attend the office 2 days per week
Roles are linked directly to free education

Benefits

Comp & perks

Free training course and education
Courses are 100% free for all students
No secret or hidden fees
No payment upon completion
No debt
Competitive benefits, varying by client
Potential for a role with one of the clients after training