Generative AI Engineer

RedRock Resourcing

Reading

On-site

GBP 90,000 - 130,000

Full time

45 hours ago
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Job summary

RedRock Resourcing is seeking an experienced software engineer to work at the intersection of software engineering, AI and legacy modernisation in Reading. The role is hands-on with complex legacy tech, using modern AI tooling to tackle technical debt and set new coding standards.

You’ll bring a solid C#/.NET foundation and experience with large or legacy systems, plus a track record in AI-assisted development and automated testing.

Qualifications

  • Strong software engineering foundation required.
  • Deep experience with C#/.NET and legacy systems preferred.
  • Familiarity with AI-assisted development and automated testing is a plus.

Responsibilities

  • Use AI coding agents to investigate, refactor and modernise legacy codebases.
  • Design the engineering harness with proper context, rules and constraints for AI agents.
  • Build repository-level instructions, agent skills, prompts and dynamic context.
  • Work with Claude Code, MCP and other agentic development tools.
  • Establish automated testing and AI evaluation frameworks to ensure quality.
  • Build guardrails, sandboxes and CI/CD controls around AI-driven development.

Skills

Software engineering
C#/.NET
AI tooling
Legacy modernization

Tools

Claude Code
Cursor
GitHub Copilot
Codex

Job description

Using AI and agentic engineering to modernise complex legacy software, and fundamentally change how engineering teams build software.

This isn't a traditional software engineering role. You won't simply be picking up tickets, writing code and moving onto the next sprint. You'll be working at the intersection of software engineering, architecture, AI, developer experience and legacy modernisation, helping to design the systems, standards and guardrails that allow engineers to deliver better software safely.

What will you actually be doing?

You'll be hands-on with some seriously complex legacy technology, using modern AI tooling and engineering practices to tackle technical debt that has often been difficult to address through traditional approaches.

  • Use AI coding agents to investigate, refactor and modernise legacy codebases
  • Design the "engineering harness" that gives AI agents the right context, rules and constraints to work effectively
  • Build repository-level instructions, agent skills, prompts and dynamic context
  • Work with technologies such as Claude Code, MCP and other agentic development tools
  • Establish automated testing and AI evaluation frameworks (evals) to make sure speed doesn't come at the expense of quality
  • Build guardrails, sandboxes and CI/CD controls around AI-driven development
What background are we looking for?

We're looking for someone who has built a seriously strong software engineering foundation.

You’ll ideally have deep experience in C#/.NET, alongside experience working with large, complex or legacy systems.

You might have worked with:
We're particularly interested if you've also been working with:
  • Claude Code, Cursor, GitHub Copilot, Codex or similar coding agents
  • Agentic development or AI-assisted software engineering
  • Automated testing, evals and quality frameworks
  • Legacy modernisation, major refactoring or framework migrations

You’ll be joining during a major transformation across Technology, with significant investment in:

  • Public cloud migration
  • AI-enabled software engineering
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