обновлено 3 дня назад
Engineer (Enterprise AI Platform)
165 000 - 330 000$
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.
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