15 часов назад
Engineering Lead (AI Email App)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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