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2 дня 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): Owning and leading the engineering charter for AI Services and AI Applications experiences team with an accent on building and scaling foundational AI services and AI middleware that power AI/ML workloads. Focus on delivering end-to-end AI capabilities spanning platform engineering, distributed systems, machine learning services, product experiences, and integrations.

Company

hirify.global builds uncomplicated service software that delivers exceptional customer and employee experiences.

What you will do

  • Own the technical vision, architecture, and roadmap for the core AI services and Copilot application experiences team.
  • Drive execution across cross-functional engineering squads to build scalable, reliable, and reusable platform components.
  • Manage and mentor a high-performing team of engineers, fostering career growth and technical depth.
  • Partner with AI/ML scientists, MLEs, System engineers, product managers, and architects to translate AI research and use cases into production-ready services and product integrations.
  • Champion engineering best practices including CI/CD, observability, fault tolerance, and performance.
  • Contribute to hiring and shaping the engineering culture within the team and organization.

Requirements

  • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience)
  • 10+ years of software engineering experience with at least 3+ years in people management roles
  • Proven experience in building and operating platform or AI middleware services at scale, along with delivering strong product UI/UX and seamless integrations.
  • Strong design and architecture skills, especially in distributed systems, backend services, APIs, infrastructure and Ops
  • Excellent programming skills in one or more languages (Java, Python, Go, etc.)
  • Strong communication and stakeholder management skills

Nice to have

  • Experience building machine learning platforms, GenAI integration, or MLOps tooling is a significant plus

Culture & Benefits

  • Environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities.
  • Committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business.

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