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10 часов назад

Engineering Manager (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (AI): Leading a small team building an AI-powered career services platform with an accent on technical oversight, code review, and ensuring engineering quality. Focus on AI-assisted development workflows and pushing the team to stay on the cutting edge of how AI transforms software engineering.

Location: Remote

Company

hirify.global is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand.

What you will do

  • Lead and grow a small engineering team, running weekly demos, sprint planning, and 1:1s.
  • Review pull requests with meaningful, actionable feedback, identifying risks and improvement opportunities.
  • Assess technical architecture proposals and flag risks around scalability and maintainability.
  • Own team delivery, scope work, remove blockers, and ensure consistent shipping cadence.
  • Drive AI-first engineering practices, championing AI coding tools and LLM-assisted workflows.
  • Collaborate with product and design on roadmap prioritization, balancing technical debt with feature velocity.

Requirements

  • 15+ years of engineering experience, with at least 5 years in a tech lead or engineering management role.
  • Strong code review skills and the ability to evaluate technical architecture trade-offs.
  • Hands-on with backend systems (Ruby on Rails, Python, or similar).
  • Active, demonstrated experience as an AI-first Tech Lead, using AI development tools.
  • Genuine curiosity about LLMs and AI-assisted engineering.
  • Strong communication skills and experience managing small teams with high autonomy.

Nice to have

  • Experience with Ruby on Rails and/or Next.js/TypeScript.
  • Background in AI/ML product development or LLM API integrations.
  • Experience with modular monolith or domain-driven design architectures.
  • Kubernetes and cloud infrastructure knowledge (GCP preferred).
  • Observability tooling experience (DataDog, Sentry, Prometheus).

Culture & Benefits

  • Global network of top talent in business, design, and technology.
  • Fully remote workforce with team members based around the globe.
  • Encourages innovation, social interaction, and fun.
  • Fast-paced environment, unafraid to break the mold.

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