AI Coding Engineer

MicroTech Consulting
E17Pe, E1 7PE, United Kingdom
Last week
£60,000 – £70,000 pa

Salary

£60,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
22 May 2026 (Last week)

Job Title: AI Coding Engineer

Location: London, United Kingdom

Our client are an AI Start-Up looking to build Agentic Systems for the purpose of auditing and certification. This role is 100% on-site and wouldn't be able to provide sponsorship.

Responsibilities:

  • Build, test, and ship high-quality, high-velocity code across the full stack (front-end,
  • back-end, and AI-agent infrastructure).
  • Collaborate directly with the co-founders to solve complex architectural problems, like how to capture an auditor's "tribal knowledge" into a self-improving, agentic system.
  • Go beyond simple prompting: You will use LLM coding tools as a partner, understanding how to negate their weaknesses and build robust frameworks around them to maximize your output
  • Get hands-on with our first design partners, understand their real problems (not just what they ask for), and build solutions that they will actually use.

The Ideal Candidate:

  • Exceptional technical talent with more than 2 years of professional experience.
  • Your GitHub, personal projects, or hackathon wins speak for themselves.
  • A first-principles problem solver. You have a fundamentally strong computer science background (e.g., from a top university or equivalent experience) and are language-agnostic, picking the right tool for the job.
  • AI-Native: You are already a sophisticated user of LLM tools (e.g., Claude Code, Cursor, etc.) for coding. You understand their strengths, weaknesses, and how to build systems that leverage them effectively.
  • High-Leverage & High-Output: You thrive in a high-pressure, high-growth environment. You understand that in an early-stage start-up, precision and speed are paramount.

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Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.