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# AI/Fullstack Engineer - Python, React, Claude/CoPilot

- **Company:** Harvey Nash
- **Location:** Belfast, UK
- **Experience:** Expert
- **Salary:** £130,000.0 - £156,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon S3, User Authentication, Automation of Tests, Cloud Computing, Code Generation, Software Quality, Code Review, Continuous Integration, Relational Databases, Django Web Framework, Design of User Interfaces, Python (Programming Language), PostgreSQL, Query Optimization, Microsoft Copilot, Responsive Web Design, Software Deployment, Software Engineering, Systems Architecture, TypeScript, GitHub Copilot, ReactJS, Flask (Web Framework), Claude Code, Backend, Git, Fastapi, Containerization, Material UI, Deployment Automation, Front End Software Development, Claude, Functional Programming, Api Gateway, Restful APIs, Terraform, Api Management, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/ai-fullstack-engineer-python-react-claude-copilot/57450851

## About the Role

Frontend Development

 * React.js, TypeScript and JavaScript.
 * Functional components, hooks and state management.
 * Responsive UI development and modern component libraries.

Backend Development

 * Python, ideally using FastAPI, Flask or Django.
 * RESTful APIs, authentication and asynchronous processing.
 * Microservices and scalable backend architecture.

Cloud & Infrastructure

 * AWS, including services such as Lambda, S3, CloudFront and API Gateway.
 * PostgreSQL, relational database design and query optimisation.
 * Terraform and Infrastructure as Code.
 * Git, CI/CD and automated deployment pipelines.

AI-Augmented Engineering

 * Practical experience using AI-assisted development tools such as Claude Code, GitHub Copilot or Devin AI.
 * Ability to direct, review, test and validate AI-generated code.
 * Understanding of the limitations, security risks and architectural considerations associated with AI-assisted development.

Experience & Candidate Profile

We are interested in engineers with approximately 2-8+ years of professional software engineering experience, with responsibilities and seniority aligned to their technical capability.

Successful candidates will demonstrate:

 * Strong hands-on engineering and problem-solving skills.
 * The ability to take ownership of features and deliver measurable outcomes.
 * Product thinking and an understanding of user needs.
 * Confidence working across the full software development lifecycle.
 * Strong technical judgement, attention to detail and a commitment to maintainable code.
 * A collaborative mindset and the ability to communicate technical decisions effectively.

## Description

We are seeking talented Product Engineers to join a leading global investment bank's technology organisation in Belfast.

This is an exciting opportunity to work within autonomous engineering teams, building and delivering modern financial technology products from initial concept through to production.

The focus is on combining strong full-stack engineering fundamentals with modern AI-assisted development workflows. You'll be hands-on throughout the development lifecycle, using tools such as Claude Code and GitHub Copilot to accelerate delivery while maintaining high standards of code quality, security and architecture.

We are recruiting across multiple levels, from experienced engineers to senior technical leaders who can help shape engineering standards and influence product direction.
Key Responsibilities

 * Design, build and ship full-stack applications from concept through to production.
 * Develop modern, responsive user interfaces using React, TypeScript and JavaScript.
 * Build scalable backend services, APIs and microservices using Python and frameworks such as FastAPI, Flask or Django.
 * Leverage AI-assisted development tools to accelerate prototyping, coding, testing and delivery.
 * Design robust system architectures, API contracts and data models.
 * Work with cloud-native technologies and infrastructure, including AWS, PostgreSQL and Terraform.
 * Take ownership of automated testing, CI/CD pipelines, code reviews and production deployments.
 * Critically evaluate AI-generated code, identifying security vulnerabilities, architectural issues and potential performance bottlenecks.
 * Collaborate closely with Product Managers, designers and technical stakeholders to translate business problems into effective engineering solutions.
 * Contribute to technical standards, reusable components and best practices across engineering teams.