At a Glance
- Tasks: Build innovative software using AI tools like Claude Code and collaborate across teams.
- Company: Join a forward-thinking tech company embracing an AI-first approach.
- Benefits: Enjoy a competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic remote environment with excellent career advancement opportunities.
- Why this job: Make a real impact in software development while exploring cutting-edge AI technologies.
- Qualifications: Proficient in programming, with a passion for AI tools and strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote
Department: Web and Systems
Salary: £40,000
Hours: 37.5
Contract Type: Permanent
Purpose of the role
The AI Augmented Software Engineer role will enable a new way of building software as the team moves to an AI-first approach, using tools such as Claude Code to design, build, and shape features that accelerate the achievement of business objectives. The role will be responsible for the full software development life cycle for specific projects from discovery, coding, testing, deployment, DevOps, observability, and cybersecurity.
Key Responsibilities:
- Proactively communicate progress on projects, blockers, and project timelines to Head of Engineering and Product & Delivery Lead
- Use cutting-edge AI coding tools, particularly Claude Code, to design, implement, and improve features on our EQUAL platform
- Work across domains (product, design, data, DevOps, cyber security) to understand problems and ship valuable solutions quickly
- Translate business goals into precise prompts, specifications, and tasks for AI tools, then refine and review the generated output
- Ensure high quality deliverables through appropriate unit testing, automated checks, and documentation of systems and decisions
- Suggest and implement improvements in systems, processes, and developer workflows, especially where AI can remove friction
- Work with the team to ensure that AI tools are used consistently and appropriately across the team, including agreeing patterns, guardrails, and good practice
- Keep on top of the latest developments in AI tooling and practices so that The Skills Network stays at the cutting edge of AI-assisted software development
Experience and Knowledge (essential):
- High level of proficiency in at least one programming language, with evidence you can learn new languages quickly
- Experience writing and maintaining unit tests or other automated tests in any language or framework
- Ability to take a feature or problem from idea through to production, including design, implementation, testing, and deployment
- Strong interest in AI tools for software engineering, with a clear view on their strengths, weaknesses, and appropriate use
- Comfortable reviewing and editing AI-generated code and content, rather than blindly accepting outputs
- Good collaboration skills when working with cross-functional teams and stakeholders
- Clear, concise written and verbal communication, including reporting on progress, trade-offs, and technical constraints
- Demonstrated ability to balance delivery speed with code quality, security, and long-term maintainability
- Habit of applying engineering best practices: version control, code review, documentation, and sensible testing
Experience and Knowledge (desirable):
- Experience using AI coding assistants (for example Claude Code, GitHub Copilot, or similar) in your day-to-day work
- Exposure to modern DevOps practices (CI/CD, infrastructure as code, monitoring, incident response)
- Exposure to secure coding practices or application-level cyber security concerns
- Experience working across different parts of the stack, or a track record of picking up new tools rapidly
- A genuine interest in education and the impact of technology and AI on how people learn
Please note: our office will be closed from the 25th December to the 1st January. Any applications submitted during this period will receive a status update by the 5th of January.
AI Augmented Software Engineer in Leeds employer: The Skills Network
As an AI Augmented Software Engineer at our company, you will thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive salaries, a commitment to employee growth through continuous learning opportunities, and a culture that embraces cutting-edge technology to enhance software development. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey in the exciting field of AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Augmented Software Engineer in Leeds
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at The Skills Network or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to The Skills Network.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like The Skills Network.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like The Skills Network that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Augmented Software Engineer in Leeds
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at The Skills Network.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Skills Network and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at The Skills Network
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If The Skills Network uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
