At a Glance
- Tasks: Lead a small team using AI to build and test software quickly.
- Company: Join a forward-thinking tech company revolutionising software delivery.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Dynamic role with room for experimentation and innovation.
- Why this job: Be at the forefront of AI in software engineering and make a real impact.
- Qualifications: Strong software engineering skills with experience in .NET/C# and AI tools.
The predicted salary is between 60000 - 80000 £ per year.
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.
Software Engineer - AI Native in Manchester employer: Socium
Join a forward-thinking company that champions innovation and agility in software delivery, where you'll work alongside AI agents to enhance your engineering prowess. With a culture that prioritises collaboration and rapid iteration, you'll have the opportunity to experiment with cutting-edge tools while ensuring high-quality outputs. Located in a vibrant tech hub, this role offers not only competitive benefits but also significant opportunities for professional growth in an AI-native environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI Native in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tools. This will give potential employers a taste of what you can do and how you apply your engineering judgement.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Make sure you can demonstrate your understanding of clean code and engineering principles, as these are key in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Software Engineer - AI Native in Manchester
Some tips for your application 🫡
Show Off Your AI Experience:Make sure to highlight any hands-on experience you have with AI coding tools like Cursor, Copilot, or Claude. We want to see how you've integrated these tools into your workflow and how they’ve helped you deliver software faster while maintaining quality.
Demonstrate Your Engineering Skills:Don’t forget to showcase your strong software engineering background! Talk about your experience with .NET/C#, APIs, and your understanding of clean code principles. We’re looking for someone who knows their stuff and can apply it in an AI-native environment.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your skills and experiences. Remember, we’re all about shorter feedback loops, so make your application easy to read!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Socium
✨Know Your AI Tools
Make sure you’re well-versed in the AI coding tools mentioned in the job description, like Cursor or Copilot. Be ready to discuss how you've used these tools in your past projects and how they’ve improved your workflow.
✨Showcase Your Engineering Principles
Brush up on key software engineering principles such as SOLID, TDD/BDD, and CI/CD. Be prepared to give examples of how you've applied these principles in your work, especially in relation to maintaining code quality while using AI.
✨Demonstrate Your Problem-Solving Skills
During the interview, expect to tackle some coding challenges or hypothetical scenarios. Use these opportunities to showcase your ability to review AI-generated code critically and explain how you would ensure its quality and maintainability.
✨Emphasise Your Experience with Rapid Iteration
Since the role involves working in smaller pods with shorter feedback loops, share experiences where you’ve successfully delivered features quickly. Highlight how you balance speed with quality, especially when integrating AI into your development process.
