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20 часов назад

VP of Engineering, Applications (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
c_level
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

VP of Engineering, Applications (AI): Leading the engineering systems and execution to turn ML capabilities into reliable user experiences across backend, mobile, and desktop platforms with an accent on high-reliability workflows and persistent context. Focus on setting architectural direction for AI-powered product workflows, balancing speed and discipline, and ensuring system production readiness.

Location: Remote (United Kingdom)

Company

hirify.global is building a proactive AI chat app designed to bring intelligence to conversations, errands, and complex workflows for everyday users.

What you will do

  • Own the application engineering strategy and execution across backend, mobile, and desktop platforms.
  • Lead and grow a senior applications team consisting of backend, mobile, and desktop engineers.
  • Set architectural direction for AI-powered product workflows, APIs, and client integrations.
  • Collaborate with ML leadership to translate model capabilities into shippable product features.
  • Manage high-impact technical trade-offs regarding latency, cost, reliability, and security.
  • Establish production readiness including observability, monitoring, and privacy controls.

Requirements

  • Significant experience leading application or product engineering for complex systems.
  • Strong hands-on background in building and shipping production-ready backend systems.
  • Proven experience delivering AI-powered products and understanding model integration trade-offs.
  • Expert-level system design skills across services, APIs, and data flows.
  • Ability to operate across multiple platforms (backend, mobile, desktop).
  • Must be based in the United Kingdom

Culture & Benefits

  • High talent density environment with a hands-on approach to development.
  • Collective decision-making process with a focus on rapid speed and iteration.
  • Culture of independence, judgment, and structured execution.
  • Opportunity to work on a product aimed at providing practical AI benefits to billions globally.

Hiring process

  • Technical evaluation of applications followed by 3 to 4 interviews.
  • Interviews conducted via virtual meetings and/or onsite.
  • Prompt decision-making process following the final evaluation.

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