Чётко очерченная senior-роль сочетает ответственность за production-системы с ключевыми партнёрствами в AI-инфраструктуре и даёт опыт в быстрорастущей сфере.
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Сильный AI-доменПонятная зона ответственностиКомпания быстро растётДополнительный отдых
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Partner Engineer (AI): Building partner integrations and reusable platform capabilities for running AI models and services in production with an accent on APIs, provisioning, inference, metering, billing, and reliability. Focus on designing distributed systems across company boundaries, leading integrations from architecture through operation, and solving complex failures across application and cloud infrastructure.
Location: Hybrid in San Francisco, Montreal, New York, Seattle, or Toronto
Salary: $165K–$330K plus equity
Company
Baseten provides an inference platform, infrastructure, and developer tooling that help AI companies bring models into production.
What you will do
Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation.
Integrate search and developer-tool providers, hyperscalers, cloud marketplaces, developer platforms, and model labs with Baseten's inference platform.
Build reusable platform capabilities for identity, provisioning, inference, model serving, metering, billing, access controls, usage attribution, and revenue sharing.
Design APIs and system boundaries with partner engineering teams, resolve cross-company dependencies, and make architectural decisions.
Write substantial production code, own the resulting systems, and coordinate milestones, risks, dependencies, and trade-offs across Baseten and partner teams.
Improve integration reliability through API contracts, testing, observability, safe rollouts, and failure handling.
Requirements
Experience designing, shipping, and operating large-scale distributed systems in production, including explaining architectural choices and how they meet customer needs at scale.
Experience leading ambiguous engineering projects across teams while contributing substantial production code.
Strong judgment in API design, service boundaries, and failure handling, including building systems that uphold API contracts and meet measurable service-level objectives.
Experience turning customer, partner, or engineering-team requests into defined technical scope, explaining constraints, proposing alternatives, and documenting decisions.
Comfort working across application code and cloud infrastructure, including debugging behavior across service boundaries.
Nice to have
Product integrations with cloud providers, developer platforms, or other infrastructure companies.
Experience with usage metering, marketplace infrastructure, or commerce systems supporting multi-party relationships.
Experience with model serving or other AI infrastructure used in production.
Culture & Benefits
Competitive compensation with meaningful equity.
For U.S. employees, 100% coverage of medical, dental, and vision insurance for employees and dependents.
Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
Paid parental leave and a fertility and family-building stipend through Carrot.
For U.S. employees, a company-facilitated 401(k).
Exposure to ML startups and opportunities for learning and networking.
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