We are hiring an experienced AI-focused Engineer to join a consultancy delivering a large, high-impact programme of work. The role involves building and embedding ways of working that engineers can rely on every day. The ideal candidate is an engineer first, with strong systems thinking, who cares about building robust, production-ready environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
AI Engineer - Outside IR35 // Fully Remote // 500 a day
About the Company
We’re hiring an experienced AI-focused Engineer to join a consultancy delivering a large, high-impact programme of work.
Responsibilities
- You’ll work hands-on with tools like Claude Code, building and embedding ways of working that engineers can rely on every day, including:
- Skills, hooks, and AGENTS.md
- MCP servers and remote tooling
- Subagents and specialised review agents
- Evaluation frameworks and feedback loops
Qualifications
- We want someone who can turn AI into practical, repeatable engineering leverage.
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Required Skills
- Building governed, reusable workflows instead of relying on prompting or ad hoc usage
- Using deterministic tooling such as tests, linters, type checks, compilers, and security checks to ensure models prove outputs rather than guess
- Standardising how engineers and agents operate within repositories using skills, hooks, and AGENTS.md
- Connecting agents to real systems of record through MCP and remote tooling such as Storybook, Figma, internal platforms, documentation, and security tooling
Preferred Skills
- You should be comfortable:
- Designing and implementing subagents and specialised agents for code review, security, and architecture without introducing unnecessary complexity
- Working directly in codebases and improving developer workflows
- Building systems that engineers actually adopt and trust
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Equal Opportunity Statement
A key part of the role is understanding where AI fails and improving it:
- Identifying failure patterns and gaps in performance
- Feeding insights back into skills, prompts, context, and tooling
- Continuously improving reliability and usefulness over time
This role is for you if:
- You think like an engineer first, with strong systems thinking
- You care about building robust, production-ready environments
- You want to make AI genuinely useful across teams, not just interesting
If you’re excited about building the engineering foundations that make AI work at scale, we’d love to speak.
Apply or message us directly to learn more.
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