Senior Enterprise AI Platform Engineer

Juul Labs

San Francisco (CA)

On-site

USD 165,000 - 206,000

Full time

37 hours ago
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Benefits offered by this job

Equity and performance bonuses
401(k) plan with company matching
Cell phone subsidy
Commuter benefits
Excellent medical, dental and vision

Job summary

Juul Labs is seeking an experienced engineer to own and operate our AI platforms stack. You will manage LLM tenants, provisioning, and security, while optimizing cost and adoption across 250+ users. The role requires hands-on development in Python/TypeScript and collaboration with executives.

Responsibilities include platform availability, governance, IAM, and integration with internal tools and APIs. A strong background in cloud, security, and scalable SaaS is essential.

Qualifications

  • 5+ years in software, cloud, or platform engineering with hands-on LLM-based systems.
  • Experience administering an enterprise SaaS or AI tenant at scale: access management, cost control, adoption.
  • Knowledge of both commercial and open-weight LLMs, including prompt engineering and evaluation.

Responsibilities

  • Own platforms end-to-end; build and run LLM platforms used across the company.
  • Administer enterprise tenants: provisioning, groups, roles, and security settings.
  • Cost tracking, usage reporting, and chargeback support across platforms.

Skills

LLM platforms
Cloud engineering
AWS/GCP
GitHub / CI-CD
Security & data governance
Executive communication

Education

Bachelor's degree

Tools

Vertex AI
Amazon Bedrock
MCP gateways
Kubernetes
Splunk / SIEM

Job description

Juul Labs is seeking an experienced engineer to own and operate our AI platforms stack. You will manage LLM tenants, provisioning, and security, while optimizing cost and adoption across 250+ users. The role requires hands-on development in Python/TypeScript and collaboration with executives.

Responsibilities include platform availability, governance, IAM, and integration with internal tools and APIs. A strong background in cloud, security, and scalable SaaS is essential.

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