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2 дня назад

Senior AI / LLM Engineer (Azure AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI / LLM Engineer (Azure AI): Designing and industrialising reusable LLM-powered systems and production-grade AI platforms for ASOS with an accent on RAG, agentic workflows, Azure AI, evaluation, and safety. Focus on building orchestration layers, retrieval pipelines, autonomous and human-in-the-loop systems, and optimising performance, cost, and reliability at scale.

Location: hirify.global HQ in London; office-related benefits reference the Leavesden office.

Company

hirify.global is an online fashion retailer building customer experiences and operational systems used by millions.

What you will do

  • Design and build production-grade LLM-powered systems using RAG, fine-tuning, tool use, and multi-agent orchestration.
  • Develop agentic workflows for automation, reasoning, and conversational experiences.
  • Build reusable AI infrastructure, including prompt orchestration, vector search and retrieval pipelines, and evaluation and observability frameworks.
  • Develop offline and online LLM evaluation frameworks and implement safety guardrails for hallucination mitigation, filtering, and explainability.
  • Partner with Trust & Security to embed AI risk controls into system design.
  • Optimise AI platforms for performance, cost, reliability, and horizontal reuse across engineering squads.

Requirements

  • Hands-on experience with Azure OpenAI, Azure AI Studio, Azure Machine Learning, and production cloud infrastructure.
  • Strong Python skills and experience with modern AI frameworks such as Semantic Kernel or LangChain.
  • Deep understanding of LLMs and transformer-based models, including embeddings, tokenisation, and context management.
  • Experience designing end-to-end RAG pipelines, agent-based systems, multi-agent patterns, tool usage, and workflow orchestration.
  • Experience implementing model evaluation, AI safety, governance, guardrails, secure scalable systems, and cost optimisation.

Culture & Benefits

  • Employee discount and access to employee sample sales.
  • 25 days of annual leave plus an additional celebration day.
  • Discretionary bonus scheme, private medical care, pension contributions matched up to 5%, and a flexible benefits allowance.
  • Personalised learning and career development opportunities.
  • Summer hours with 3pm finishes on Fridays in June, July, and August.
  • Free shuttlebus service between Watford station and the Leavesden office.

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