Remote AI Systems Engineer – Build Production-Ready LLM Apps

Harnham; United States; Hybrid; GBP 60,000 - 95,000; Full time

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.