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8 дней назад

Lead AI Automation Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Lead AI Automation Engineer (Agentic AI/LLM): Building production-ready AI agents, retrieval pipelines, and internal automations for a dedicated AI Automation Hub with an accent on LLM orchestration, agent frameworks, robust pipelines, and cloud-native architecture. Focus on designing non-deterministic systems, evaluating LLM outputs, selecting cost-effective models, and turning emerging AI tooling into practical production solutions.

Location: Brighton HQ, United Kingdom. Full-time, permanent hybrid role.

Company

hirify.global operates a global platform for buying, selling, and trading used photography and videography equipment, with a focus on accessible and sustainable circular commerce.

What you will do

  • Design and ship production-ready agentic AI systems, including agents, retrieval pipelines, and internal automations.
  • Prototype AI solutions quickly through working demonstrations and take successful concepts into production.
  • Implement LLM orchestration, agent frameworks, robust backend pipelines, and integrations aligned with the agentic reference architecture.
  • Work with the AI Product Manager and Lead Decision & AI Scientist to evaluate use cases, models, and LLM outputs.
  • Coach teams across hirify.global that are experimenting with AI and share effective emerging-technology practices.

Requirements

  • Strong software engineering background with complex distributed systems shipped to production.
  • Hands-on experience with LLM orchestration, agent frameworks, RAG, and low-code automation tools such as n8n.
  • Confident coding skills in Python or Node.js.
  • Experience with cloud-native architecture on GCP or AWS, API management, and robust backend pipelines.
  • Structured, pragmatic approach to debugging non-deterministic systems.
  • Ability to explain complex technical ideas through practical demonstrations.

Nice to have

  • Experience defining evaluation frameworks for LLM outputs.
  • Degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Experience coaching or influencing teams without formal authority.
  • Track record of turning emerging AI tooling into practical opportunities.

Culture & Benefits

  • Opportunity to help build a new AI Automation Hub with substantial ownership and autonomy.
  • Peer-led, low-hierarchy environment with shared ownership.
  • Access to the Learning Lab and thousands of free courses.
  • Work on technology supporting more accessible and sustainable photography equipment commerce.

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