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15 часов назад

Engineering Lead (AI Email App)

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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TL;DR
Engineering Lead (AI Email App) (AI, backend, APIs): Building reliable AI-powered email workflows across backend services, mobile, and desktop applications with an accent on orchestration, persistent state, tool use, and failure handling. Focus on leading hands-on architecture, balancing latency, cost, reliability, and user experience, and establishing observable production systems that scale.

Location: London, United Kingdom; hybrid

Company

hirify.global is building proactive AI-native applications that help users manage conversations, errands, organizing, and workflows with minimal prompting.

What you will do

  • Own application engineering strategy and execution across backend, mobile, and desktop platforms.
  • Design reliable AI-powered workflows covering state management, orchestration, tool use, retries, fallbacks, and failure handling.
  • Build APIs and abstractions connecting AI systems to real-world product experiences.
  • Lead a small team of senior engineers through architecture and code reviews, mentorship, and technical guidance.
  • Make trade-offs across latency, reliability, cost, security, and user experience.
  • Establish observability, monitoring, testing, and operational foundations for production systems.

Requirements

  • Significant experience leading application or product engineering for complex systems.
  • Strong hands-on experience building and shipping production backend systems.
  • Experience building AI-powered products or integrating modern ML and LLM capabilities.
  • Technical judgment and the ability to make decisions with incomplete information.
  • Experience working across backend and client platforms, with deep expertise in at least one.
  • High standards for code quality, reliability, ownership, and engineering fundamentals.

Culture & Benefits

  • Small, high-talent-density, hands-on engineering team.
  • Broad ownership, independent execution, and quick decision-making.
  • Close collaboration with engineering and ML leadership.
  • Interviews are conducted via virtual meetings and/or onsite.
  • The hiring process typically includes three, and no more than four, interviews.
  • Prompt decisions after technical evaluation.

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