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Lead AI Engineer

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Remote

Lead AI Engineer

AI Connect

Lead AI Engineer

Skills

PythonMachine LearningAIAWS

7 days ago

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Important information


Contract type:

Permanent

Salary:

£80,000 – £150,000 / year

Location:

Edinburgh, UK

Work mode:

Remote

Published on:

19 October 2026

What they need


Lead AI Engineer | Fully Remote (UK Based)

Six Figure Salary & + Package

We're partnering with a major UK brand who are building a new AI Engineering capability that will support products and services used by millions of customers. This is a chance to work on genuinely complex production AI, alongside talented engineers, with the opportunity to influence how the next generation of intelligent services is built.

From intelligent customer assistants and personalised financial insights to agentic workflows, you'll help turn emerging AI technology into reliable, real-world applications. You'll work with strong software and AI engineers to build systems that are secure, scalable and genuinely useful.

The opportunity

Join a growing engineering function delivering production AI systems at scale, with opportunities for hands-on engineers and technical leaders.

What you'll be doing

Design and build production AI applications, agents and intelligent workflows.

Develop Python services, APIs, RAG solutions and integrations with enterprise systems.

Work with LangGraph-based agents and cloud-hosted AI services.

Embed evaluation, observability, testing and guardrails from day one.

At senior levels, shape technical direction and support other engineers.

What we're looking for

Strong Python and software engineering fundamentals, including APIs and distributed systems.

Hands-on delivery of production GenAI, ML or agentic applications.

Experience with orchestration, retrieval, tool use and evaluation.

Cloud and container experience, ideally AWS.

A pragmatic approach to reliability, security and building maintainable software.

Experience with agent frameworks and patterns, such as LangGraph or Pydantic AI, and integrating models, tools, workflows, context and memory

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