AI Coding Engineer

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

Related Jobs

View all jobs

Senior AI/ML Engineer (LLM's / RAG Pipeline Development)

HAYS Specialist Recruitment Guildford, United Kingdom
£85,000 – £125,000 pa On-site

Staff Research Engineer - Video Post Training

Synthesia London, United Kingdom
£50,000 pa Remote

Staff Fullstack Engineer, Avatars

Synthesia London, United Kingdom
£130,000 pa Remote

Staff Backend Engineer, Avatars

Synthesia London, United Kingdom
Remote

Staff Software Engineer, Voices

Synthesia London, United Kingdom
Remote

Senior ML Engineer, Dubbing

Synthesia London, United Kingdom
Remote

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 month)

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.