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Engineering Manager (AI)

220 000 - 280 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager (AI): Leading a 5–6-person engineering team while supporting platform modernization, distributed systems, and AI/LLM-powered healthcare products with an accent on people leadership, technical design, and production delivery. Focus on translating roadmap priorities into executable plans, reviewing architectures, resolving complex engineering blockers, and applying modern AI methodologies to high-impact healthcare problems.

Location: Palo Alto, United States — hybrid

Salary: $220,000–$280,000 per year, plus equity and benefits.

Company

hirify.global builds healthcare infrastructure for safe generative AI governance, healthcare-specific agent creation, and real-time algorithm monitoring.

What you will do

  • Directly manage a team of approximately 5–6 engineers, including performance reviews, conflict resolution, career development, and hiring.
  • Translate engineering roadmap priorities into clear, executable plans with the Director of Engineering.
  • Stay hands-on by reviewing designs, unblocking engineers, and contributing to key technical decisions.
  • Support platform modernization and the scaling of the application layer.
  • Apply modern LLM methodologies and applied AI techniques to healthcare problems.
  • Support new product initiatives from concept through production deployment and improve delivery rigor.

Requirements

  • 8+ years of engineering experience, including 2+ years of direct people management.
  • Experience growing or leading a small engineering team toward 5–10 people.
  • Strong people-management skills covering performance management, conflict resolution, and career development.
  • Technical foundation in system design and architecture discussions.
  • Technical lead experience with backend distributed systems, microservices, REST APIs, and AI/ML.
  • Experience shipping and supporting production applications in a fast-growing engineering organization.

Nice to have

  • Experience at both a large technology company and a growth-stage startup.
  • Applied AI/ML or LLM experience, especially in new product development.
  • Platform, foundational, or distributed systems engineering experience.
  • Experience in healthcare or value-based and outcomes-based contract environments.

Culture & Benefits

  • Mission-driven, inclusive environment focused on transforming healthcare with AI.
  • Hybrid work options and flexible working hours.
  • Competitive salary with equity packages.
  • Medical, dental, and vision insurance.
  • Equal opportunity workplace committed to diversity and inclusion.

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