AI Augmented Software Engineer
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.
#PR2
REF-225 579
TPBN1_UKTJ