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Applied AI Engineer

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Hybrid

Applied AI Engineer

SoCode Recruitment

Applied AI Engineer

Skills

Deep LearningPythonMicroservicesMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Hybrid

Published on:

23 September 2026

What they need


We’re looking for an Applied AI Engineer to join a growing AI organisation and work closely with the research and engineering teams to build high-quality, production-grade AI systems.

Key Responsibilities:

  • Design and build solutions using LLMs, RAG and related AI technologies
  • Develop and maintain high-quality production software
  • Architect and maintain microservice-based systems
  • Take ownership of technical problems from concept through to production
  • Work closely with research and engineering teams in an Agile/Scrum environment
  • Provide technical guidance and support to more junior engineers

You’ll ideally have:

  • Experience building LLM-driven systems, including RAG
  • Commercial Python development experience
  • Strong understanding of clean, maintainable and well-tested software
  • Fluency with agentic tooling
  • Excellent technical communication skills
  • Bachelor’s degree from a leading or internationally recognised university
  • A strong product mindset and focus on delivering user value
  • A self-starting, creative approach to problem solving

Desirable Experience:

  • Deep learning and traditional machine learning
  • LLM fine-tuning
  • Microservice architecture
  • Modern LLM tooling and evaluation approaches

Further Information: The role is paying up to £140,000pa + bonus and is based in London with Hybrid working on offer. This role is not providing sponsorship.

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