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Senior AI / LLM Engineer (Azure)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior AI / LLM Engineer (Azure): Designing and industrialising reusable LLM-powered systems and AI platforms for ASOS's fashion retail experiences with an accent on RAG, agentic workflows, Azure AI, evaluation, and responsible AI. Focus on building production-grade orchestration and retrieval infrastructure, implementing safety guardrails, and optimising model systems for performance, cost, and reliability at scale.

Location: hirify.global headquarters in London; office details also reference the Leavesden office.

Company

hirify.global is an online fashion retailer building digital customer experiences used by millions of people worldwide.

What you will do

  • Design and build production-grade LLM-powered systems, including RAG, fine-tuning, tool use, and multi-agent orchestration.
  • Develop agentic workflows for automation, reasoning, and conversational experiences.
  • Build reusable AI infrastructure covering prompt orchestration, vector search, retrieval pipelines, evaluation, and observability.
  • Develop AI capabilities such as stylist reasoning, product understanding, and copilots for reuse across engineering squads.
  • Embed AI safety, governance, explainability, and risk controls in partnership with Trust & Security.
  • Optimise AI systems for performance, cost, scalability, and reliability.

Requirements

  • Hands-on experience with Azure OpenAI, Azure AI Studio, and Azure Machine Learning.
  • Experience running production-grade AI systems on cloud infrastructure, including APIs, event-driven architectures, and scalable compute such as AKS.
  • Strong Python skills and experience with modern AI frameworks such as Semantic Kernel or LangChain.
  • Deep knowledge of LLMs, transformer-based models, embeddings, tokenisation, context management, fine-tuning, prompting, and model selection.
  • Experience designing RAG pipelines, agent-based systems, workflow orchestration, evaluation frameworks, AI safety guardrails, and secure production systems.
  • Experience with performance and cost optimisation techniques including caching, batching, and model routing.

Culture & Benefits

  • Employee discount and access to employee sample sales.
  • 25 days of annual leave plus an additional celebration day.
  • Discretionary bonus scheme and matched pension contributions of up to 5%.
  • Private medical care and a flexible benefits allowance.
  • Personalised learning and career development opportunities.
  • Additional benefits include summer hours and a shuttlebus between Watford station and the Leavesden office.

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