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

Harvey Nash Ireland · Recruitment agency
Contract•DevOps•£400-650/day (GBP)•Belfast, Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Contract
Workplace
Hybrid · 3 days in office
Day rate
£400-650/day (GBP)
Category
DevOps

Technologies & skills

Cloud & infrastructure

TerraformAWS

Other technical skills

REST APIsPostgreSQLFlask

What you'll be doing

Join a global investment bank's tech team in Belfast as a Product Engineer (AI-Augmented & Full-Stack Systems). You'll design, build, and ship full-stack apps using React, TypeScript, Python, and cloud-native tools, leveraging AI-assisted development. Hybrid contract role, 2-8+ years' experience required.

  • Design, build and ship full-stack applications from concept 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 for security vulnerabilities, architectural issues and performance bottlenecks

Key requirements

Must-have

  • React.js, TypeScript and JavaScript for frontend development
  • Python with FastAPI, Flask or Django for backend development
  • RESTful APIs, authentication and asynchronous processing
  • AWS cloud services
  • PostgreSQL and relational database design
  • Terraform and Infrastructure as Code
  • Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot)
  • Ability to review and validate AI-generated code

Experience: 2-8+ years of professional software engineering experience

Role signals

Technical focus
full-stack engineering, AI-assisted development, cloud-native systems
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Full job description

Product Engineer (AI-Augmented & Full-Stack Systems) Location: Belfast, Northern Ireland - Titanic Quarter

  • Rate: £400-£650 per day, Inside IR35

  • Working Model: Hybrid - 3 days per week in the office

  • Contract Type: Contract

  • Openings: Multiple headcounts

  • Experience: 2-8+ years, depending on level

The Opportunity 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.

Essential Technical Skills Frontend Development

  • React.js, TypeScript and JavaScript.

  • Functional components, hooks and state management.

Backend Development

  • Python, ideally using FastAPI, Flask or Django.

  • RESTful APIs, authentication and asynchronous processing.

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.

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.

Why Apply?

  • Competitive contract rates of £400-£650 per day, Inside IR35.

  • Multiple opportunities across different engineering levels.

  • Work on high-impact technology within a global financial services environment.

  • Exposure to modern AI-assisted engineering workflows and cloud-native technologies.

  • Join collaborative, autonomous engineering teams with a strong focus on product outcomes.

  • Hybrid working, with three days per week in Belfast

Interested? If you're a hands-on Product Engineer looking for your next contract opportunity, we'd love to hear from you.

Please apply with your latest CV, outlining your relevant full-stack engineering experience, cloud expertise and exposure to AI-assisted development tools.

Add a stronger application call to actionClarify seniority expectations by level

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the role is a hands-on AI-augmented full-stack engineering contract position focused on building and delivering modern financial technology products using Python, React, cloud-native tools, and AI-assisted development workflows.

  • Hands-on full-stack engineering·High
  • AI-assisted development and code review·High
  • Cloud-native architecture and deployment·High
  • Security and code quality·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Full-Stack Project Experience

    0–7 min

    Prepare concise stories of recent projects where you delivered both frontend and backend features, focusing on challenges and outcomes.

  2. Practice with AI-Assisted Coding Tools

    7–13 min

    Spend time using GitHub Copilot or Claude Code to generate and review code, noting strengths and weaknesses.

  3. Refresh Cloud and Database Skills

    13–20 min

    Revisit deploying applications on AWS, managing PostgreSQL databases, and using Terraform for infrastructure.

  4. Prepare for Technical and Collaboration Questions

    20–25 min

    Draft answers to likely questions about API design, security, code review, and cross-functional teamwork.

  5. Research the Team and Prepare Questions

    25–30 min

    Review the company's engineering culture (if possible) and select thoughtful questions to ask during the interview.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items

  • End-to-End Full-Stack Delivery

    You will need to demonstrate experience designing, building, and shipping applications from concept to production, showing ownership of both frontend and backend components.

  • AI-Assisted Development Tools

    The role emphasizes leveraging and critically evaluating AI-generated code, so be ready to discuss practical use of tools like Claude Code or GitHub Copilot, including their limitations and risks.

  • Cloud-Native Architecture

    You should be able to discuss your experience with AWS services, Infrastructure as Code (Terraform), and deploying scalable, secure systems in the cloud.

  • API and Data Model Design

    Expect to explain your approach to designing robust RESTful APIs, authentication, asynchronous processing, and relational data models, as these are core to the responsibilities.

  • Automated Testing and CI/CD

    Ownership of testing, code reviews, and deployment pipelines is highlighted, so prepare examples of how you ensure code quality and smooth releases.

What to research

, 4 items

  • Review React, TypeScript, and JavaScript Fundamentals

    Refresh your knowledge of building modern, responsive UIs with React, focusing on functional components, hooks, and state management.

  • Deepen Understanding of Python Backends

    Practice building RESTful APIs with FastAPI, Flask, or Django, including authentication and asynchronous processing.

  • Hands-on with AI-Assisted Development Tools

    Gain practical experience using tools like GitHub Copilot or Claude Code, and practice reviewing and validating AI-generated code.

  • Cloud Infrastructure and Database Skills

    Review deploying applications on AWS, using PostgreSQL for relational data, and managing infrastructure with Terraform.

Questions to ask

, 6 items
  1. How are AI-assisted development tools currently integrated into your engineering workflows?

    Why ask this? Clarifies the team's maturity and expectations around AI-augmented engineering.

  2. What are the main challenges your teams face when building and deploying full-stack applications in this environment?

    Why ask this? Helps you understand the technical and organizational pain points.

  3. How do you approach code review and quality assurance, especially with AI-generated code?

    Why ask this? Reveals the standards and processes for maintaining code quality.

  4. What is the typical collaboration process between engineers, product managers, and designers?

    Why ask this? Gives insight into cross-functional teamwork and communication.

  5. How is success measured for engineers in this role, especially regarding product outcomes?

    Why ask this? Clarifies performance expectations and priorities.

  6. Are there opportunities to contribute to technical standards or reusable components across teams?

    Why ask this? Shows your interest in broader technical impact and growth.

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Apply NowApply before: 12 Nov 2026