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AI Platform Engineer

Harnham - Data and Analytics Recruitment
London, United Kingdom
6 days ago
£90,000 – £130,000 pa

Salary

£90,000 – £130,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
28 May 2026 (6 days ago)

Benefits

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Fully Remote (UK) | £95,000 to £130,000 plus stock options


This is a rare opportunity to shape the AI foundations of a modern SaaS platform at a pivotal stage of growth. You will join a product focused, design led business that is moving beyond experimentation into production grade, agentic AI systems that directly impact how design teams work at scale.


The Role
You will take ownership of AI and platform capabilities across the product, acting as a technical lead in a team of experienced full stack engineers.

  • Design and build agentic AI workflows that operate across large, structured content sets
  • Develop reliable AI systems that translate UI and design changes across the wider platform
  • Build and maintain retrieval, orchestration and evaluation frameworks for LLM powered features
  • Influence cloud architecture and cost efficiency within an AWS environment
  • Work closely with product and design to ensure AI features are user focused and production ready
  • Help establish best practice around observability, governance and responsible AI development

Your Skills and Experience
You will be a product minded engineer who enjoys building platforms from the ground up.

  • Strong commercial experience as a full stack or backend focused engineer
  • Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph
  • Experience shipping AI powered features into production environments
  • Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling
  • Experience with modern web technologies including React and JavaScript or TypeScript
  • Comfortable working in evolving codebases, with exposure to Ruby on Rails or Node.js beneficial
  • A track record of seeing products through build, launch and iteration

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