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2 часа назад

Senior AI Engineer (Azure)

Формат работы
hybrid
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 Engineer (Azure): Building and scaling shared AI platform foundations with an accent on agentic AI patterns, orchestration, and enterprise-grade governance. Focus on designing secure, observable, and reliable LLM workflows on Azure to enable application teams to deploy AI agents at scale.

Location: Must be based in or able to work from the London HQ (Hybrid)

Company

hirify.global is a global online fashion retailer dedicated to providing customers with the confidence to express their individuality through technology and innovation.

What you will do

  • Design and build AI platform capabilities on Azure, focusing on agent runtimes and orchestration.
  • Contribute to the Agentic AI Platform initiative to define how agents are integrated across the organization.
  • Develop standardized templates and reference implementations for LLM and Generative AI workflows.
  • Implement secure access patterns for LLMs using APIM, Entra ID, and RBAC.
  • Contribute to LLMOps and GenAIOps practices, including monitoring, evaluation, and feedback loops.
  • Partner with Cloud Infrastructure and Security teams to ensure scalable and cost-effective AI environments.

Requirements

  • Significant experience as an AI Engineer or AI Platform Engineer delivering production-grade systems.
  • Hands-on experience with LLMs, Generative AI, and agent-based systems.
  • High proficiency in Python with experience building APIs and service-oriented systems.
  • Practical experience with observability tooling and telemetry for AI reliability.
  • Comfortable working in cloud environments, preferably Azure.
  • Strong collaboration skills to influence platform standards across engineering teams.

Nice to have

  • Experience with Azure AI Foundry.
  • Experience with Azure API Management (APIM) for governance.
  • Familiarity with AgentOps and MLOps concepts.

Culture & Benefits

  • Discretionary bonus scheme based on performance.
  • Private medical care scheme.
  • 25 days paid annual leave plus an extra celebratory day.
  • Flexible benefits allowance.
  • Employee discount for you and a nominated friend or family member.
  • Summer hours: finish at 3pm on Fridays during June, July, and August.

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