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1 день назад

Principal GenAI Engineer (AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal GenAI Engineer (AI): Shaping the technical architecture and strategic direction of GenAI platforms with an accent on agentic workflows, RAG, and LLM-powered tooling. Focus on designing high-stakes AI systems, establishing architectural standards, and ensuring responsible AI governance at scale.

Location: On-site in London with flexibility to work from home up to 1 day per week.

Company

hirify.global is the UK’s fastest-growing used car marketplace, connecting private sellers with verified dealers through a technology-led platform.

What you will do

  • Set the overarching architecture for GenAI, including patterns for prompt design, RAG, and agent orchestration.
  • Design and build the most complex technical components, leading high-risk, high-reward AI initiatives.
  • Hold sign-off authority on architectural decisions for complex GenAI systems.
  • Advise leadership on build-vs-buy strategies for AI infrastructure and vendor selection.
  • Drive cost, latency, and throughput optimization across production systems.
  • Define responsible AI principles and ensure alignment with regulatory frameworks like the EU AI Act.

Requirements

  • 8+ years of experience building production AI/ML systems, with at least 2 years in GenAI.
  • Strong engineering fundamentals in Python and modern API-driven architectures on cloud infrastructure (AWS).
  • Hands-on expertise with LLM APIs, prompt engineering, RAG, agentic architectures, and evaluation frameworks.
  • Proven track record of setting architectural standards adopted across multiple engineering teams.
  • Experience aligning engineering decisions with responsible AI frameworks like NIST AI RMF or the EU AI Act.
  • Ability to communicate complex technical strategy to executive and board-level audiences.

Nice to have

  • External technical presence through publications, open-source contributions, or conference talks.
  • Experience leading organizations through major AI paradigm shifts.
  • Working knowledge of ML Engineering and platform layers.
  • Background in regulated, safety-critical, or trust-heavy domains.

Culture & Benefits

  • Stock options to share in company growth.
  • Comprehensive health insurance through BUPA and fitness discounts.
  • Generous parental benefits including 6 months full paid maternity leave.
  • Pension scheme through NEST.
  • Budget for personal development, books, and conferences.
  • Cycle to work scheme and regular social events.

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