Назад
обновлено 3 дня назад

Engineer (Enterprise AI Platform)

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Engineer (Enterprise AI Platform): Building enterprise capabilities for an AI inference platform, including identity and access management, billing, compliance controls, private connectivity, and single-tenant deployments with an accent on full-stack product and systems engineering. Focus on leading complex initiatives, designing scalable architectures, and securing cloud and Kubernetes-based infrastructure for large organizations.

Location: Hybrid in San Francisco, Montreal, New York, Seattle, or Toronto

Salary: $165,000–$330,000 plus equity

Company

Baseten provides AI inference infrastructure and developer tooling that help companies deploy mission-critical machine learning models in production.

What you will do

  • Lead complex enterprise engineering initiatives from problem definition and technical design through implementation, launch, and iteration.
  • Build core platform capabilities, APIs, and user experiences for identity and access management, billing, compliance, regional isolation, and enterprise deployments.
  • Design authentication and authorization systems using standards such as OAuth and OIDC.
  • Make architectural decisions that balance customer needs with scalability, maintainability, and long-term simplicity.
  • Partner with product, design, and customer-facing teams to turn customer feedback into durable technical solutions.
  • Establish strong practices for quality, security, observability, operational ownership, and engineering mentorship.

Requirements

  • Experience building enterprise software in areas such as identity and access management, billing systems, multi-tenant isolation, private connectivity, or compliance initiatives.
  • Experience leading technical projects and operating systems at scale.
  • Ability to collaborate directly with customers to understand their needs.
  • Comfort working across the full stack, including product and application code, cloud infrastructure, and Kubernetes.

Nice to have

  • Experience building AI or data-intensive infrastructure products.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • U.S. employees and dependents receive full medical, dental, and vision insurance coverage.
  • Flexible PTO with a company-wide winter break.
  • Paid parental leave and a fertility and family-building stipend.
  • U.S. employees have access to a company-facilitated 401(k).
  • Exposure to a broad range of machine learning startups and infrastructure challenges.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →