THIS ISN'T JUST ABOUT WRITING CODE
You'll work with AI as your engineering partner.
You'll use tools such as enterprise AI platforms, GitHub Copilot and Claude to:
- Direct AI agents to build real software
- Turn user stories, Figma designs and business rules into working solutions
- Create and refine prompts, AI Skills and instruction files
- Review and challenge AI-generated code
- Identify security, performance and architectural risks
- Build reusable AI-enabled engineering workflows
- Continuously improve how AI contributes to software delivery
The AI writes code. You provide the engineering judgement.
WHAT YOU'LL BE BUILDING
This is full-stack, end-to-end engineering.
You could find yourself working across:
- Frontend applications
- Mobile and cross-platform experiences
- Backend services
- APIs and integrations
- Cloud-native platforms
- Data and persistence layers
- CI/CD and DevSecOps
- Automated testing
- Observability and performance
- The technology landscape will evolve, so we're looking for engineers who can learn fast, adapt quickly and aren't tied to a single framework or language.
THE AGENTIC ENGINEERING MINDSET
We're looking for engineers who are:
AI-NATIVE
- You know how to use AI to dramatically increase your productivity — without outsourcing your engineering judgement.
CURIOUS
- You enjoy experimenting with new tools, frameworks and ways of building software.
FRAMEWORK-AGNOSTIC
- React Native today? Flutter tomorrow? .NET MAUI next? You can adapt.
CONSTRUCTIVELY SCEPTICAL
- AI-generated code isn't automatically good code. You know how to question it, test it and improve it.
SYSTEMS-THINKING
- You understand how individual components fit into larger, complex enterprise systems.
QUALITY-OBSESSED
- Security, scalability, performance, testing and maintainability aren't optional extras.
CONTINUOUSLY LEARNING
- You're excited about where software engineering is heading — and want to help shape it.
Requirements
WHAT YOU'LL BRING
We're looking for 4–8 years of professional software engineering experience, with strong foundations and a clear trajectory toward senior-level capability.
You'll ideally have:
- Strong full-stack software engineering experience
- Experience delivering complex enterprise applications
- Frontend, backend, API and cloud experience
- Understanding of distributed systems and modern application architecture
- Strong software design and engineering principles
- Commercial mobile/cross-platform development experience
- React Native and/or Flutter experience highly advantageous
- Experience with .NET MAUI, Swift, Kotlin or Ionic advantageous
- Hands-on experience with AI-assisted development tools
- Exposure to AI agents, prompts, instruction files or AI engineering workflows
- The ability to recognise when AI-generated code is incorrect, insecure or poorly designed