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MiddleOfficeSan Francisco

AI Engineer

B

Baseten

Уровень

Middle

Формат

Office

О роли

Описание вакансии

About Baseten

Powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer
Unites applied AI research, flexible infrastructure, and seamless developer tooling
Recently raised $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital

The Role

Compute org is in hyper growth
Systems and workflows that keep supply and demand balanced across the GPU fleet need to get more sophisticated
Design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage
Automate the manual, repetitive, and error-prone parts of the capacity lifecycle
Audit what exists today, identify what's missing or broken, and start shipping fast

Responsibilities

Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage
Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into dashboards, alerts, and recommendations
Audit the stack and generate your own backlog
Ship team-productivity workflows fast
Know when to go custom: spin up bespoke AI-powered solutions in Claude Code when the problem calls for it
Think in systems, not solutions
Integrate third-party APIs and internal systems to sync events and information across disparate tools
Document what you build

Requirements

3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role
Shipped production agents on Vercel
Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar)
Direct experience with a CRM or system-of-record platform (Salesforce or similar)
A track record of owning end-to-end AI and automation workflows
Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a 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 concepts
Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex)
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

Benefits

Competitive compensation, including meaningful equity
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)

Стек и навыки