{"id":3083692,"url":"https://alion.io/job/asos-senior-ai-llm-engineer-3","title":"Senior AI / LLM Engineer","company":{"id":39790,"name":"ASOS","domain":"asos.com","url":"https://alion.io/company/asos","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":185000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Azure AKS","optional":true},{"name":"CI/CD","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-22T12:49:01Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T09:17:12Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"We're ASOS, the online retailer for fashion lovers all around the world.\nWe 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.\nEveryone 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\n We’re hiring a Senior AI / LLM Engineer to design and industrialise the core AI capabilities that will power ASOS.\nAt ASOS, AI is central to how we evolve the customer experience - from product discovery and personalisation through to operational decision-making. You’ll work on systems that operate at real scale, supporting experiences used by millions.\nThis role sits at the centre of our AI differentiation - focused on solving deep technical problems (models, reasoning systems, orchestration), not just feature delivery. You’ll create reusable, production-grade AI platforms that teams across ASOS can leverage, accelerating how we build and scale intelligent products.\nWe’re looking for someone who thinks in systems, not features - with strong abstraction capability and a mindset of building once and reusing at scale. You’ll be comfortable operating in ambiguity, working on frontier AI problems, and balancing innovation with the realities of production environments.\nIf you’re motivated by solving complex challenges and seeing your work adopted across a global platform, this is a high-impact opportunity.\nResponsibilities\nDesign and build LLM-powered systems (RAG, fine-tuning, tool use, multi-agent orchestration) \nDevelop agentic workflows for automation, reasoning, and conversational experiences \nDefine patterns for autonomous + human-in-the-loop systems \nBuild and scale solutions on the Azure AI stack (Azure OpenAI, AI Studio, Azure ML, Cognitive Services) \nCreate reusable infrastructure: Prompt orchestration layers, Vector search and retrieval pipelines & Evaluation and observability frameworks \nDesign and implement LLM evaluation frameworks (offline + online) \nImplement AI safety guardrails (hallucination control, filtering, explainability) \nPartner with Trust & Security to embed AI risk controls by design \nBuild reusable AI capabilities (e.g. stylist reasoning, product understanding, copilots) \nEnable horizontal reuse across squads - building once, scaling many times \nOptimise systems for performance, cost, and reliability (token-aware design) \nChampion best practice in AI engineering, governance, and platform thinking \nSupport a culture of inclusive, responsible AI development \n Tech stack & platform experience (core):\nStrong hands-on experience with the Azure AI ecosystem - including Azure OpenAI, Azure AI Studio, and Azure Machine Learning \nExperience building and running production-grade AI systems on cloud infrastructure (APIs, event-driven architectures, scalable compute such as AKS or similar) \nProficiency in Python, with experience working across modern AI frameworks (e.g. Semantic Kernel, LangChain or equivalents) \nLLM systems and architecture:\nDeep understanding of LLMs and transformer-based models, including embeddings, tokenisation, and context management \nExperience designing and optimising LLM-powered systems, including fine-tuning approaches, structured prompting, and model selection trade-offs \nExperience building end-to-end RAG pipelines, including retrieval strategies, vector search, and grounding techniques \nAgentic systems & orchestration:\nExperience designing agent-based systems, including multi-agent patterns, tool usage, and workflow orchestration \nUnderstanding of state, memory, and event-driven pipelines in conversational or decisioning systems \nQuality, safety & production readiness:\nExperience implementing evaluation frameworks to measure model quality and performance \nStrong understanding of AI safety, governance, and guardrails (hallucination mitigation, content safety, explainability) \nExperience designing secure, scalable, and cost-efficient systems in production environments \nNice to have:\nLLMOps / MLOps experience (CI/CD, experiment tracking, observability) \nPerformance and cost optimisation (caching, batching, model routing) \n BeneFITS’\nEmployee discount (hello ASOS discount!) \nEmployee sample sales \n25 days paid annual leave + an extra celebration day for a special moment \nDiscretionary bonus scheme \nPrivate medical care scheme \nFlexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits \nOpportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role","description_format":"text","description_chars":4762,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-10-22T13:05:28Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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