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10 часов назад

Platform Engineer (AI)

140 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Platform Engineer (AI): Building and operating the databases, AWS infrastructure, networking, observability, CI/CD, and evaluation systems that support hundreds of services and concurrent agentic AI workloads with an accent on reliability, scalability, and developer velocity. Focus on orchestrating non-deterministic AI workloads, designing failure-resistant infrastructure, detecting silent system and business failures, and improving operational cost under load.

Location: San Francisco, in-office five days a week. Candidates must be based in San Francisco or willing to relocate to the United States. Schedule: Monday–Friday with a very early morning start.

Salary: $140,000–$280,000 depending on experience, plus performance bonuses and equity.

Company

hirify.global is building AI-led commercial insurance infrastructure to improve coverage distribution, customer experience, and operational efficiency for American businesses.

What you will do

  • Own core infrastructure across databases, AWS services, networking, and CI/CD.
  • Build systems for thousands of concurrent AI operations with sub-second response times and cost-efficient scaling.
  • Design observability for system errors and silent business-level failures.
  • Orchestrate parallel, non-deterministic agentic workloads and build infrastructure that evaluates AI output quality.
  • Develop tooling and abstractions that improve product engineering velocity.
  • Own reliability through SLOs, on-call operations, incident response, and post-mortems.

Requirements

  • Production ownership experience at scale, including responding to pages and operating systems under real load.
  • Depth in at least two areas: databases, AWS cloud infrastructure, networking, observability, or CI/CD.
  • Experience designing retries, dead-letter queues, back pressure, idempotency, and other reliability mechanisms.
  • Software engineering experience with a platform, infrastructure, or SRE focus.
  • Proficiency in Python, TypeScript, Go, or a similar language.
  • Production experience with AWS, Postgres, and observability tooling.

Nice to have

  • Experience orchestrating AI/ML workloads at scale, including agent frameworks or LLM inference infrastructure.
  • Voice AI or real-time systems experience.
  • Deep AWS experience with ECS, Lambda, RDS, and VPC design.
  • Prior startup experience, especially in hypergrowth environments.

Culture & Benefits

  • Work directly with founders and product engineers.
  • Breakfast, lunch, dinner, snacks, drinks, and coffee provided in the office.
  • Uber commuter benefits and a free gym membership.
  • Health, dental, and vision insurance.
  • Tools and infrastructure are treated as products that improve engineering effectiveness.

Hiring process

  • Remote 60-minute technical screen covering a project deep dive and system design.
  • On-site Super Day with team meetings, operational observation, and practical work alongside the team.

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