1 месяц назад
FDE Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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