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10 дней назад

Head of Platform Engineering (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
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
Head of Platform Engineering (AI): Owning and scaling Reducto’s document-serving platform, from job orchestration and document processing through model inference, autoscaling, deployment, and observability, with an accent on reliability, latency, cost efficiency, and customer-cloud and on-premise environments. Focus on completing the serving-stack migration, building the platform engineering team, deploying vision-language models at scale, and developing data and agent-runtime infrastructure.

Location: On-site at the San Francisco office, United States

Company

hirify.global provides an agentic document platform that uses vision models, LLMs, and document-processing systems to help enterprise customers extract and use information from complex documents.

What you will do

  • Own the serving platform end to end, including job orchestration, document pre- and post-processing, model inference, autoscaling, throttling, and the serving-stack migration.
  • Build deployment and serving capabilities for customer cloud and on-premise environments.
  • Develop observability, alerting, and incident-response systems while improving reliability, latency, and cost per document.
  • Own the platform roadmap and technical decisions, and recruit and build the platform engineering team.
  • Work with Product Engineering to scale agent runtimes and environments, and build an internal data platform for users and ML teams.
  • Partner with ML and Product Engineering to roll out new models and deployment capabilities.

Requirements

  • At least three years of experience owning reliability, latency, and efficiency for a platform at significant scale, with measurable results.
  • Recent hands-on experience writing design documents and production code and reviewing engineering work.
  • Experience attracting, hiring, and retaining high-performing engineering talent.
  • Experience with infrastructure as code and containerized deployments operated in production.
  • Experience serving ML models, particularly vision-language models, at scale.
  • Experience building data platforms, managing on-premise deployments, or working with agent sandboxes, harnesses, and evaluations.

Nice to have

  • Experience as a founder, founding engineer, or owner of a greenfield project taken from zero to one.
  • Experience building and managing on-premise deployments and agent infrastructure.

Culture & Benefits

  • Early-stage environment focused on fast execution and hands-on engineering.
  • Unlimited paid time off.
  • Daily lunch at the office and reimbursed transportation.
  • Medical, dental, and vision insurance.
  • Up to $150 per month for health and wellness expenses.
  • Parental leave with a schedule tailored to individual family needs.

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