AI Engineer

Rozgoo; United States; À distance; USD 140 000 - 210 000; Plein temps

Résumé du poste

Baseten is hiring for an AI/automation engineering role within its Compute organization. You will design and ship AI-powered workflows to automate the capacity lifecycle, enabling Compute and C3 teams to operate with greater efficiency and fewer manual processes.

You’ll audit existing tooling, prioritize backlogs, and deliver solutions that scale as Baseten grows. Collaboration with data, engineering, and product teams is essential to success.

Qualifications

• 3+ years in AI/automation engineering, workflow automation or a technical operations role.
• Shipped production agents on Vercel.
• Built internal apps and agents on Vercel with durable workflows and sandboxed execution.
• Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex).
• 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 platforms (n8n, Zapier, Make, Workato) and APIs/webhooks.
• Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments.

Responsabilités

• Ship AI-powered workflows for Compute and C3, building agents and automations that enable capacity analysts, ops leads, and engineers to off-load manual work.
• Turn fleet utilization, allocation, and demand data into dashboards, alerts, and recommendations used by leadership.
• A build isn't done until the team is using it.
• Audit the stack and generate your own backlog, prioritizing gaps and overlaps.
• Ship team-productivity workflows quickly, delivering requests within days.
• Know when to go custom with Claude Code for bespoke problems.
• Design for upstream and downstream impacts across Supply, Demand, and Engineering.
• Integrate third‑party APIs and internal systems to sync data across tools.
• Document what you build so it’s discoverable and trustworthy.

Connaissances

AI/automation engineering

Workflow automation

Technical operations

Outils

Vercel

n8n

Zapier

Make

Workato

Claude Code

Cursor

Codex

Description du poste

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap.

You’ll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't.

RESPONSIBILITIES

• Ship AI-powered workflows for Compute and C3 : build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation.
• Get insights in front of the team : turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on.
• A build isn't done until the team is using it.
• Audit the stack and generate your own backlog : Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
• Ship team-productivity workflows fast : triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday.
• Know when to go custom : not everything belongs in a point‑and‑click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
• Think in systems, not solutions : every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later.
• Integrate third‑party APIs and internal systems to sync events and information across disparate tools : ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day.
• Document what you build : if people can't find it, understand it, or trust it, it doesn't matter how well it works.

REQUIREMENTS

• 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
• 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
• 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) — 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, opera