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Artificial Intelligence Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Areti Group | B Corp™
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Principal AI Engineer – Agentic AI / Developer Platforms

London | Hybrid | Contract

We’re partnering with a leading technology-driven organisation that is taking a genuinely progressive approach to AI within software engineering.

They’re looking for a hands-on Staff / Principal-level Engineer to help shape how AI and coding agents are used across their engineering function.

This is a role for someone who is an experienced software engineer first, with deep practical Agentic AI experience
. You’ll still be writing code, building platforms and solving engineering problems yourself.

What you’ll be doing
  • Building shared AI and developer-platform capabilities used by engineering teams
  • Creating reusable tooling, SDKs, agent frameworks and engineering patterns
  • Using coding agents such as Claude Code, Codex and Cursor extensively within your own development workflow
  • Building and operating MCP, Agentic AI, RAG and multi-agent capabilities
  • Establishing evaluation, testing and release controls for AI-generated software
  • Improving developer productivity, CI/CD, testing and repository quality
  • Designing for enterprise requirements around security, identity, auditability, data integrity and compliance
  • Influencing engineering teams through working software and strong technical judgement
What we’re looking for

We’re particularly interested in engineers who have a strong commercial software engineering background and can demonstrate that they have personally built and shipped production systems.

Ideally, you’ll have experience across areas such as:

  • Staff / Principal Software Engineering
  • Python and modern software engineering
  • Agentic AI and coding agents
  • Claude Code / Codex / Cursor
  • MCP
  • Lang Graph or similar orchestration frameworks
  • RAG and context engineering
  • LLM evaluation and regression testing
  • Developer platforms and internal tooling
  • CI/CD, observability and production operations
  • Security, authentication and enterprise identity
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