Senior AI/LLM Systems Engineer — Scalable Platforms

ASOS.com; Greater London; On-site; GBP 95,000 - 150,000; Full time

Benefits offered by this job

Employee discount

Sample sales

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Job summary

ASOS is hiring a Senior AI / LLM Engineer to design and industrialise the core AI capabilities powering ASOS. You will build production-grade AI platforms used across the business, focusing on systems and scale rather than feature delivery.

Work on LLM-powered systems, RAG, tooling, multi-agent orchestration, and AI safety. You will collaborate with product teams to deploy responsible AI at global scale on the Azure stack.

Qualifications

• Strong hands-on experience with Azure AI ecosystem including OpenAI, AI Studio and ML services.
• Production-grade AI systems on cloud infrastructure and scalable compute (AKS).
• Proficiency in Python and modern AI frameworks (Semantic Kernel, LangChain or equivalents).

Responsibilities

• Design and build LLM-powered systems (RAG, fine-tuning, tool use, multi-agent orchestration).
• Develop agentic workflows for automation, reasoning, and conversational experiences.
• Define patterns for autonomous plus human-in-the-loop systems.
• Build and scale solutions on the Azure AI stack and related tooling.
• Create reusable infrastructure: prompt orchestration, vector search pipelines, observability.
• Design and implement LLM evaluation frameworks (offline and online).
• Implement AI safety guardrails and collaborate with trust and security teams.

Skills

Azure AI

Python

LangChain

AKS

System design

AI governance

Tools

Azure OpenAI

Azure ML

Azure AI Studio

Vector search

Job description

ASOS is hiring a Senior AI / LLM Engineer to design and industrialise the core AI capabilities powering ASOS. You will build production-grade AI platforms used across the business, focusing on systems and scale rather than feature delivery.

Work on LLM-powered systems, RAG, tooling, multi-agent orchestration, and AI safety. You will collaborate with product teams to deploy responsible AI at global scale on the Azure stack.