Applied AI Engineer – LLMs, RAG, Microservices, Hybrid

SoCode Limited

Greater London

Hybrid

GBP 84,000 - 140,000

Full time

3 days ago
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Job summary

SoCode Limited in London is seeking an Applied AI Engineer to join a growing AI organisation and collaborate with research and engineering teams. You will design and build LLM-driven solutions and maintain production-grade software.

The role emphasizes strong Python development, clean code, and excellent technical communication within an Agile/Scrum environment, with hybrid working and a focus on delivering user value.

Qualifications

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

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

Skills

LLM systems
Python development
Clean code
Agentic tooling
Technical communication
Product mindset
Self-starting

Education

Bachelor’s degree

Tools

Microservices
Agile/Scrum
LLM tooling
RAG tooling

Job description

SoCode Limited in London is seeking an Applied AI Engineer to join a growing AI organisation and collaborate with research and engineering teams. You will design and build LLM-driven solutions and maintain production-grade software.

The role emphasizes strong Python development, clean code, and excellent technical communication within an Agile/Scrum environment, with hybrid working and a focus on delivering user value.

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