AI Engineer
Build and ship AI-powered agents, automations, dashboards, and integrations that improve GPU capacity operations across Compute and C3. The role requires 3+ years of AI automation or technical operations experience, production Vercel expertise, agent-tool fluency, and strong API integration skills.
About the job
Responsibilities
- Build and ship AI-powered workflows, agents, and automations for Compute and C3 teams, reducing manual work such as data pipeline cleanup, migration troubleshooting, and capacity investigation.
- Turn fleet utilization, allocation, and demand-forecasting data into actionable dashboards, alerts, and recommendations.
- Audit existing tooling, identify gaps, prioritize improvements, and generate an independent backlog.
- Build team-productivity workflows quickly in response to operational needs.
- Develop custom AI-powered solutions in Claude Code when appropriate.
- Design workflows with upstream and downstream system implications in mind.
- Integrate third-party APIs and internal systems to synchronize events and information across C3, CRM, and Compute systems.
- Document workflows so they are discoverable, understandable, and trusted.
Requirements
- 3+ years of experience in AI/automation engineering, workflow automation, or technical operations, ideally in a high-growth AI infrastructure or B2B company.
- Production experience shipping agents on Vercel, including custom internal applications, durable workflows, and sandboxed execution.
- Fluency with AI coding assistants and agent tooling such as Claude Code, Cursor, or Codex.
- Experience with a CRM or system-of-record platform such as Salesforce.
- Track record of owning end-to-end AI and automation workflows.
- Proficiency with integration and automation platforms such as n8n, Zapier, Make, or Workato.
- Fundamental understanding of APIs and webhooks.
- Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments.
Nice to Have
- Familiarity with GPU infrastructure, capacity planning, or fleet management.
- Experience building reporting and alerting on data warehouses such as BigQuery or Databricks and BI tools such as Sigma or Hex.
- Experience with agent platforms or frameworks such as Gumloop, Notion Agents, Vercel AI SDK, Claude Agent SDK, or Mastra.
- Experience in high-stakes, operationally complex environments.
Compensation and Benefits
- Competitive compensation, including meaningful equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible paid time off and company-wide winter break.
- Paid parental leave.
- Fertility and family-building stipend.
- Company-facilitated 401(k).
Skills
Vercel, Claude Code, Cursor, Codex, Salesforce, n8n, Zapier, Make, Workato, APIs, Webhooks, BigQuery, Databricks, Vercel Ai Sdk, Gpu Infrastructure
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