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Senior AI / LLM Engineer
ASOS
London, GBR
Full-time
Senior
Hybrid
Discovered 4 days ago
AzurePython
Key Skills for This Role
AzurePython
Full Job Posting
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 + human-in-the-loop systems
- Build and scale solutions on the Azure AI stack (Azure OpenAI, AI Studio, Azure ML, Cognitive Services)
- Create reusable infrastructure: Prompt orchestration layers, Vector search and retrieval pipelines & Evaluation and observability frameworks
- Design and implement LLM evaluation frameworks (offline + online)
- Implement AI safety guardrails (hallucination control, filtering, explainability)
- Partner with Trust & Security to embed AI risk controls by design
- Build reusable AI capabilities (e.g. stylist reasoning, product understanding, copilots)
- Enable horizontal reuse across squads — building once, scaling many times
- Optimise systems for performance, cost, and reliability (token-aware design)
- Champion best practice in AI engineering, governance, and platform thinking
- Support a culture of inclusive, responsible AI development
- Tech stack & platform experience (core):
- LLM systems and architecture:
- Agentic systems & orchestration:
- Quality, safety & production readiness:
- Nice to have:
BeneFITS’
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
- Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
- We're ASOS, the online retailer for fashion lovers all around the world.
- We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.
- Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process
Qualifications
- Strong hands-on experience with the Azure AI ecosystem — including Azure OpenAI, Azure AI Studio, and Azure Machine Learning
- Experience building and running production-grade AI systems on cloud infrastructure (APIs, event-driven architectures, scalable compute such as AKS or similar)
- Proficiency in Python, with experience working across modern AI frameworks (e.g. Semantic Kernel, LangChain or equivalents)
- Deep understanding of LLMs and transformer-based models, including embeddings, tokenisation, and context management
- Experience designing and optimising LLM-powered systems, including fine-tuning approaches, structured prompting, and model selection trade-offs
- Experience building end-to-end RAG pipelines, including retrieval strategies, vector search, and grounding techniques
- Experience designing agent-based systems, including multi-agent patterns, tool usage, and workflow orchestration
- Understanding of state, memory, and event-driven pipelines in conversational or decisioning systems
- Experience implementing evaluation frameworks to measure model quality and performance
- Strong understanding of AI safety, governance, and guardrails (hallucination mitigation, content safety, explainability)
- Experience designing secure, scalable, and cost-efficient systems in production environments
- LLMOps / MLOps experience (CI/CD, experiment tracking, observability)
- Performance and cost optimisation (caching, batching, model routing)
About ASOS
Retail2800 employeesFounded 2000
ASOS is an online fashion retailer serving global customers with own and partner clothing and beauty brands.
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