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12 часов назад

Platform Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Platform Engineer (AI): Building and scaling the reliable, secure, observable platform beneath Conduct’s product with an accent on automated deployments, enterprise security, data infrastructure, developer experience, and AI infrastructure. Focus on designing LLM gateways, model routing, durable execution, agent sandboxes, database scaling, and self-service observability.

Location: NYC, US; onsite. The team is based in New York and London, with visa sponsorship and relocation support.

Company

hirify.global is building an AI operating system that absorbs enterprise IT complexity and helps large companies operate with greater speed and output. The company recently raised a $60M+ Series A and is still at an early stage.

What you will do

  • Own the platform beneath the product, setting its direction and prioritizing work with broad autonomy.
  • Build fully automated, repeatable deployments and support new regions, starting with the US.
  • Design enterprise-grade security with customer-provided encryption keys, network boundaries, and tenant isolation.
  • Bring durable execution, vector search, and agent sandboxes into the company’s infrastructure.
  • Scale databases, improve local development, preview environments, build tooling, and CI/CD.
  • Build end-to-end observability and AI infrastructure including LLM gateways, model routing, cost monitoring, and provider resilience.

Requirements

  • Experience owning infrastructure including networks, databases, and deployments through a period of real scale at a fast-growing startup or scale-up.
  • Use infrastructure as code by default, with Terraform or similar tools, and keep current with platform tooling.
  • Apply simple, well-reasoned system design that solves problems and ships quickly.
  • Ability to make informed technical decisions about databases and platform architecture.
  • Understanding of AI infrastructure concepts including LLM gateways, caching, unreliable providers, agent sandboxes, and durable execution; AI research experience is not required.
  • Ability to build clean abstractions and paved paths that other engineers will use.
  • Evidence of high-quality systems shipped and experience building and scaling platforms with modern tooling; formal experience level is less important than demonstrated impact.

Nice to have

  • Familiarity with Azure, Terraform, AWS, GCP, Kotlin, TypeScript, containerized monorepos, GitHub Actions, Temporal, PortKey, Postgres, TurboPuffer, Daytona, OpenTelemetry, or Honeycomb.

Culture & Benefits

  • Small, talent-dense team focused on ownership, high velocity, low-ego collaboration, and shipping to customers.
  • Autonomy to set direction, decide priorities, and scope work with support from the engineering team.
  • Visa sponsorship and relocation support are available.
  • Strong emphasis on quality, fast delivery, and foundations that make product engineers more effective.

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