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1 месяц назад

FDE Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
FDE Intern (AI): Deploying and operating stateful AI agent infrastructure in customer-controlled environments with an accent on Helm charts, Kubernetes, upgrades, and reliable on-premise delivery. Focus on debugging Temporal workflows, storage, authentication-refresh pipelines, and security issues while building repeatable deployment and rollback paths.

Location: San Francisco, United States; work arrangement: On-site

Company

hirify.global builds infrastructure that enables AI agents to communicate with workplace tools such as GitHub, Gmail, Notion, and Salesforce.

What you will do

  • Manage the on-premise lifecycle, including Helm charts, upgrades, weekly releases, and rollback paths.
  • Help consolidate divergent customer forks onto a supported chart with appropriate guardrails.
  • Improve onboarding so new customers can deploy the platform in days rather than weeks.
  • Debug across Temporal workflows, Kubernetes initialization ordering, storage, and authentication-refresh pipelines.
  • Support the security surface through CVE triage, patching, and root-cause analyses.

Requirements

  • Experience building in environments that are not fully controlled, such as homelabs, VPCs, or self-hosted infrastructure.
  • Curiosity about Kubernetes and Helm, with a desire to develop deep expertise.
  • Experience building with language models and informed opinions about AI agents and MCP.
  • Comfortable working in Linux and writing clear root-cause analyses.
  • Ability to build trust and acknowledge knowledge gaps.

Nice to have

  • Experience with Temporal, PostgreSQL, or cloud secret managers.
  • Experience with self-hosted delivery, KOTS, or air-gapped environments.
  • Open-source contributions or hackathon wins.

Culture & Benefits

  • Work in a lean engineering team building infrastructure for AI agents.
  • Contribute to a rapidly growing product used by startups and established customers.
  • Take ownership of complex infrastructure problems across the deployment and security lifecycle.

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