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23 часа назад

Engineering Manager (Applied AI)

250 000 - 425 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager (Applied AI): Leading and developing Applied AI engineers who build and deploy production AI systems inside complex enterprise environments with an accent on hands-on technical leadership, team growth, and customer delivery. Focus on making architecture decisions under ambiguity, setting engineering standards, integrating enterprise systems, and feeding deployment insights back into Mosaic.

Location: New York City, United States. On-site role with a couple of customer-site days each month and additional presence during deployments or when the team needs in-person support.

Salary: $250,000–$425,000 annually, plus equity.

Company

hirify.global applies AI to transform critical institutions in healthcare, manufacturing, energy, and other industries through embedded engineering, product, and research expertise.

What you will do

  • Lead and develop a small team of Applied AI Engineers working on customer engagements.
  • Stay hands-on in the codebase through design reviews, pairing, code reviews, and direct intervention during at-risk launches.
  • Own technical outcomes, make difficult architecture decisions, and establish standards for code quality, testing, reviews, and documentation.
  • Build trusted technical relationships with customer operators and executives while guiding production AI deployments in complex enterprise environments.
  • Identify recurring customer and deployment problems and help improve Mosaic, hirify.global’s toolkit for agentic workflows.
  • Interview candidates, calibrate hiring decisions, and help grow the engineering organization.

Requirements

  • 7+ years building production software, including at least 2 years leading or managing engineers.
  • Hands-on experience writing Python and TypeScript code.
  • Demonstrated ability to improve engineers through deliberate feedback, coaching, and meaningful stretch assignments.
  • Strong systems design judgment, including architecture trade-offs, technical decision-making, and operating with incomplete information.
  • Fluency with LLM engineering concepts including agents, tools, context, evaluations, and AI development tooling.
  • New York City-based and able to work on-site, including at customer locations as needed.

Nice to have

  • Experience managing a team through a production launch in another company’s enterprise environment.
  • Enterprise integration experience with EHRs, ERPs, RCM, supply chain, or workforce systems.
  • Domain expertise in healthcare, energy, manufacturing, or financial services.
  • Forward-deployed, consulting, design partner, startup, or founding engineer experience.
  • Experience building tooling or frameworks used by multiple teams.

Culture & Benefits

  • Equity in addition to the base salary.
  • Hands-on, high-agency environment focused on customer outcomes and production delivery.
  • Direct, specific feedback balanced with kindness and trust.
  • Flexible working hours without monitoring time, with an expectation of sustained commitment rather than a strict 9-to-5 schedule.
  • Close collaboration across engineering, engagement, growth, product, and research functions.

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