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Juul Labs

Enterprise AI Systems Engineer

  • Confirmed live in the last 24 hours
  • $165k–$206k
  • Mid level
  • On-site · Austin, Texas, United States; Dallas, Texas, United States; San Francisco, California, United States; Washington, District of Columbia, United States
  • 5+ yrs exp
  • Added 3 weeks ago

About this role

Juul Labs is seeking an Enterprise AI Systems Engineer to own and manage their large-scale AI platforms, including Claude, Gemini, OpenRouter, Cursor, and NotebookLM. You'll be responsible for ensuring these platforms run smoothly, building integrations with internal systems, and driving adoption across a growing user base while adhering to robust security and governance policies. This role demands a blend of technical expertise, strong communication skills, and the ability to architect and operate AI workloads on AWS and GCP.

What you'll do

  • Administer and configure enterprise AI platforms (Claude, Gemini, etc.)
  • Develop and maintain content (skills, prompts, connectors) to maximize platform utility.
  • Monitor platform usage and manage costs, including chargeback models.
  • Build and operate MCP servers and LLM gateways for secure API integration.
  • Architect and deploy AI workloads on AWS and GCP, ensuring security and compliance.

What they're looking for

  • Python
  • TypeScript
  • AWS
  • GCP
  • Model Context Protocol (MCP)
  • GitHub
  • Prompt Engineering

Benefits

  • Equity and performance bonuses
  • Cell phone subsidy and commuter benefits
  • Excellent medical, dental, and vision insurance
  • 401(k) plan with company matching
  • Discretionary performance bonuses
  • Family support, wellness, legal, and employee assistance programs
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Juul Labs

Industry
Consumer Goods
View all jobs at Juul Labs

Likely interview questions

  • Describe your experience administering enterprise SaaS or AI tenants at scale.
  • How have you approached model selection (commercial vs. open-weight) in previous projects?