Artificial Intelligence Engineer

The opportunity

This is a hands-on engineering role, not a tooling or process side-project.

You’ll be writing production code with GitHub Copilot and other AI-assisted tools as a core part of how you work, embedded within the end client’s engineering team as part of the consultancy’s delivery, while helping raise the bar on how that wider team uses these tools well, getting genuine productivity gains without sacrificing code quality, security or maintainability.

What you’ll be doing

• Writing and shipping production-quality code with GitHub Copilot as a core part of your daily workflow, within the end client’s codebase and ways of working
• Applying good judgement on when AI-generated suggestions are genuinely useful and when they’re not, reviewing, refining and owning the code that ships, not just accepting what the tool proposes
• Bringing in and evaluating other AI-assisted development tools where they add real value
• Sharing practical techniques and best practice with the client’s engineering team; prompting approaches, review habits, where AI tooling helps and where it gets in the way
• Helping establish sensible guardrails around AI-assisted code: quality, security, IP and maintainability
• Representing the consultancy well on a client site, building trust with client engineers rather than just delivering code in isolation

What you’ll bring

• A strong software engineering background essential; this is an engineering role first, the AI tooling is how you work, not a substitute for the fundamentals
• Hands-on experience with GitHub Copilot essential; genuine day-to-day use, not just exposure to it
• Experience with other AI-assisted development tools; Cursor, Claude Code, Windsurf, Amazon Q Developer, Tabnine or similar
• Good instincts on code quality and review; comfortable critically assessing AI-generated code rather than rubber-stamping it
• Comfortable working client side as part of a consulting team, adapting quickly to someone else’s codebase, standards and stakeholders
• Comfortable working fully remote and largely autonomously