AI Systems Engineer

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

AI Systems Engineer

£60,000-£95,000

Remote UK

This is an exciting opportunity to join a growing organisation investing heavily in AI innovation. You will build impactful AI solutions end to end, shaping production systems that support both internal teams and customer-facing products.

The Company

They are a technology-led organisation with a strong focus on scalable, secure, and responsible AI development. Their teams work collaboratively across data, engineering, and product functions, with a clear roadmap to modernise systems and develop new AI-driven capabilities.

The Role

• 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.
• Operate cloud-based AI infrastructure within AWS, supporting automation, monitoring, and CI/CD processes.

Your Skills and Experience

• 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.
• Ability to collaborate effectively in cross‑functional tech environments.

What They Offer

• Hybrid working with flexibility.
• Clear technical progression and opportunities to lead on new AI initiatives.
• A supportive, forward‑thinking environment where you can shape innovative AI products.

How to Apply

If this sounds like the right next step, apply today to begin the conversation.