AI Augmented Software Engineer

Location: RemoteDepartment: Web and SystemsSalary: £40,000Hours: 37.5Contract Type: PermanentPurpose of the roleThe 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 LeadUse cutting-edge AI coding tools, particularly Claude Code, to design, implement, and improve features on our EQUAL platformWork across domains (product, design, data, DevOps, cyber security) to understand problems and ship valuable solutions quicklyTranslate business goals into precise prompts, specifications, and tasks for AI tools, then refine and review the generated outputEnsure high quality deliverables through appropriate unit testing, automated checks, and documentation of systems and decisionsSuggest and implement improvements in systems, processes, and developer workflows, especially where AI can remove frictionWork with the team to ensure that AI tools are used consistently and appropriately across the team, including agreeing patterns, guardrails, and good practiceKeep 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 developmentExperience and Knowledge (essential):High level of proficiency in at least one programming language, with evidence you can learn new languages quicklyExperience writing and maintaining unit tests or other automated tests in any language or frameworkAbility to take a feature or problem from idea through to production, including design, implementation, testing, and deploymentStrong interest in AI tools for software engineering, with a clear view on their strengths, weaknesses, and appropriate useComfortable reviewing and editing AI-generated code and content, rather than blindly accepting outputsGood collaboration skills when working with cross-functional teams and stakeholdersClear, concise written and verbal communication, including reporting on progress, trade-offs, and technical constraintsDemonstrated ability to balance delivery speed with code quality, security, and long-term maintainabilityHabit of applying engineering best practices: version control, code review, documentation, and sensible testingExperience and Knowledge (desirable):Experience using AI coding assistants (for example Claude Code, GitHub Copilot, or similar) in your day-to-day workExposure to modern DevOps practices (CI/CD, infrastructure as code, monitoring, incident response)Exposure to secure coding practices or application-level cyber security concernsExperience working across different parts of the stack, or a track record of picking up new tools rapidlyA genuine interest in education and the impact of technology and AI on how people learnPlease 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.#PR2REF-225 579

Created: 2025-12-12