A software team built around one engineer leading multiple AI agents – That’s the model.
The aim is to move faster than a traditional product team without dropping the engineering standards that make software safe to ship.
You’ll be joining a business that has already built a strong digital platform and is now pushing into a different way of delivering software. Smaller pods. Shorter feedback loops. AI embedded into the engineering workflow. Daily iteration rather than waiting weeks to see progress.
You are still an engineer.
The AI agents can help plan, scaffold, write, review and test code, but you own the quality of what goes out. You’ll be guiding the tools, reviewing their output, spotting what’s wrong, writing code where needed, and making sure the pod ships working software properly.
This is for someone who already understands good software engineering and wants to apply that in a more AI-native environment.
What you’ll be doing
- Working as the lead human engineer inside a small delivery pod
- Using AI agents to help plan, build, review and test software
- Turning product ideas into working, tested features quickly
- Writing code yourself where the work needs proper engineering judgement
- Reviewing AI-generated code for quality, safety and maintainability
- Building automated tests around what the pod ships
- Improving how the agents are used over time: better prompts, better patterns, better checks
- You’ll get room to experiment, proper tooling, and the chance to help define how a modern engineering pod should work when one strong engineer can direct multiple AI agents.
What they’re looking for
- Strong software engineering background
- Commercial experience with .NET / C#
- Good understanding of APIs, testing and maintainable code
- Solid grasp of engineering principles: clean code, SOLID, TDD/BDD, code review, CI/CD
- Real use of AI coding tools in your workflow
- Experience with tools like Cursor, Copilot, Claude or similar
- Ability to review AI output properly rather than just accept what it produces
- Someone who wants to move quickly, but still cares about doing the work properly
The key bit is the AI experience.
They are not looking for someone who has used ChatGPT a few times to tidy up a function. They want engineers who are already experimenting seriously with AI in software delivery, whether that is commercially or through proper personal projects.
You do not need to have built models. You do not need to be an ML engineer.
The value here is knowing how to use AI to deliver software faster, while still having the engineering judgement to know when the output is wrong.
#J-18808-Ljbffr…