AI Augmented Software Engineer

AI Augmented Software Engineer

Location:

Remote
Department:
Web and Systems
Salary: £40,000

Hours:

37.5
Contract Type:
Permanent

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.

• 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, Dev Ops, 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

• High level 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 using AI coding assistants (for example Claude Code, Git Hub Copilot or similar) in your day‑to‑day work
• Exposure to modern Dev Ops 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 January.