AI Engineer

Baseten

United States Posted September 13, 2026

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Remote Full-time Mid level
Salary Range

$175,000 - $190,000

Job Description

Join Baseten, a fast-scaling AI infrastructure company, as an AI Engineer. In this role, you will build AI-powered workflows, turn data into actionable insights, audit the tech stack, and integrate third-party APIs. Enjoy a remote-first work environment, unlimited PTO, full healthcare coverage, and a learning and development budget.

  • Concevoir et mettre en œuvre des flux de travail automatisés alimentés par l'IA pour améliorer l'efficacité des analystes de capacité, des responsables des opérations et des ingénieurs.
  • Transformer les données d'utilisation de la flotte, d'allocation et de prévision de la demande en tableaux de bord, alertes et recommandations exploitables.
  • Identifier les lacunes et les chevauchements dans les outils existants, établir des priorités et créer un backlog d'améliorations.
  • Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar)
  • A track record of owning end-to-end AI and automation workflows
  • Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments
  • You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
  • Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
  • Direct experience with a CRM or system-of-record platform (Salesforce or similar)
  • 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company
  • Familiarity with GPU infrastructure, capacity planning, or fleet management concepts
  • Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
  • Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
  • Experience with high-stakes, operationally complex environments where mistakes have real business impact
  • Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company
Required Skills
audit learning and development Claude Code webhooks CRM Salesforce BigQuery Databricks data engineering Notion agents Sigma
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