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5 месяцев назад

Engineering Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
India
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 and mentoring a team of 7-12 engineers to develop cutting-edge AI applications and scalable AI-powered enterprise products with an accent on architectural decisions, system design, and AI application integration. Focus on driving technical excellence, implementing agile processes, and solving complex distributed system challenges.

Location: Hybrid in Noida, Uttar Pradesh, India (3 days per week in office)

Company

hirify.global is a data and AI product company founded in early 2020, primarily working with Fortune 500 companies.

What you will do

  • Drive architectural decisions for AI applications, enterprise integrations, and cloud-agnostic deployments.
  • Lead, mentor, and grow a team of 7-12 software engineers.
  • Collaborate on system design, database optimization, and API architecture.
  • Partner with Product Managers to translate business requirements into technical roadmaps.
  • Implement agile development processes and engineering best practices.
  • Establish code quality standards and deployment pipelines.

Requirements

  • 10+ years of software engineering experience with strong system design and scalable architecture fundamentals.
  • Minimum 2-3 years of engineering management experience leading technical teams in product companies.
  • Broad technical expertise spanning databases (SQL/NoSQL), message queues, RESTful APIs, backend/frontend, and microservices architecture.
  • Familiarity with AI/ML concepts and enterprise system integration.
  • Experience with cloud platforms (AWS, Azure, GCP), containerization, and modern deployment practices.
  • Strong communication skills with the ability to coordinate cross-functional teams.

Nice to have

  • Experience with LLMs, vector databases, RAG systems, and agentic systems in production environments.
  • Previous experience at AI/ML product companies or building enterprise AI applications.
  • Experience with API and enterprise system integrations at scale.
  • Background in enterprise data products or business intelligence platforms.

Culture & Benefits

  • Competitive salary alongside a strong healthcare insurance and benefits package.
  • Extensive learning and development resources for employee growth.
  • Hybrid work model with flexibility for project needs.

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