AI Integration Engineer

Plaud•San Francisco, CA
•$140,000 - $276,000

About The Position

Plaud is hiring an AI Integration Engineer to build production integrations, identity-driven provisioning, AI agents, and automations across the company’s systems. The role will select an orchestration or iPaaS platform and define the integration patterns, data contracts, and authentication model used by other builders. It will connect systems such as Okta or Entra, Rippling, NetSuite, Slack, and Notion, and deliver automations including hire-to-retire workflows and help-desk deflection. The engineer will turn business needs into monitored, reliable production automations with runbooks, partnering across the company and global offices to align systems with Business Systems’ data contracts. The role emphasizes practical, fast delivery and building automations that reduce repetitive work and improve organizational speed.

Requirements

  • At least 5 years of production experience building integrations and/or automations, including APIs, webhooks, SCIM, or event-driven systems.
  • Hands-on experience with an iPaaS such as Workato, n8n, Tray, or a similar platform.
  • Experience shipping AI/LLM agents or automations end-to-end, including orchestration, workflow, and prompt design; prototype-only experience is not sufficient.
  • Strong engineering fundamentals and scripting skills, including Python.
  • Production discipline, including monitoring, error handling, and runbooks.
  • A solid understanding of identity and authentication, including SSO, SCIM, and OAuth, and how systems of record such as HRIS, ERP, and collaboration systems connect.
  • A builder’s bias and willingness to ship practical quick wins.

Responsibilities

  • Select the orchestration or iPaaS platform and define integration patterns, data contracts, and authentication models.
  • Build integration and authentication layers connecting systems such as Okta or Entra, Rippling, NetSuite, Slack, and Notion.
  • Implement automated, identity-driven provisioning.
  • Build and ship AI agents and automations, including hire-to-retire workflows and help-desk deflection.
  • Translate jobs-to-be-done into monitored, reliable production automations and maintain runbooks.
  • Partner across the company and global offices to align system integrations with Business Systems’ data contracts.

Benefits

  • Employee Stock Ownership Plan (ESOP) and potential equity.
  • Potential discretionary bonuses or incentives.
  • Access to AI tools including Gemini, Claude Code, and other frontier AI systems.
  • Choice of top-spec laptops, high-performance workstation setups, and Plaud devices for new hires.
  • Annual company off-sites and team events.
  • Market-competitive compensation.
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