Remote AI Systems Engineer – Build Production-Ready LLM Apps

Harnham

United States

Hybrid

GBP 60,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Hybrid working with flexibility
Technical progression opportunities
Supportive environment

Job summary

A technology-led organisation in the UK is seeking an AI Systems Engineer to develop and deploy AI and LLM-powered systems. You will build RAG pipelines, design microservices for various use cases, and collaborate with cross-functional teams. A strong background in Python and experience with AWS services is essential. This role offers hybrid working and opportunities for technical progression in an innovative environment.

Qualifications

  • Strong commercial experience in Python and modern software engineering practices.
  • Proven capability building LLM applications, agents, or RAG solutions.
  • Experience designing APIs and microservices using frameworks such as FastAPI or Flask.
  • Hands-on exposure to AWS services used for AI and production deployment.
  • Familiarity with evaluation, observability, or monitoring tools for LLM systems.

Responsibilities

  • Develop and deploy AI and LLM-powered systems from experimentation to production.
  • Build RAG pipelines, agentic workflows, and intelligent automation tools.
  • Design and maintain microservices for summarisation, extraction, forecasting, and other use cases.
  • Work closely with engineering and product teams to integrate AI features into scalable applications.
  • Ensure reliability, observability, and governance across all AI systems in production.

Skills

Experience in Python
LLM applications and RAG solutions
API and microservices design
AWS exposure
Collaboration in cross-functional teams

Tools

FastAPI
Flask

Job description

A technology-led organisation in the UK is seeking an AI Systems Engineer to develop and deploy AI and LLM-powered systems. You will build RAG pipelines, design microservices for various use cases, and collaborate with cross-functional teams. A strong background in Python and experience with AWS services is essential. This role offers hybrid working and opportunities for technical progression in an innovative environment.
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