Senior AI Platform Engineer – MLOps & Infra

Zof AI

San Francisco, Northern (CA, KY)

Hybrid

USD 170,000 - 240,000

Full time

9 days ago
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Job summary

Zof AI seeks an experienced MLOps Engineer to own the platform for AI systems, spanning model serving, scaling, and reliability. You will push the platform that enables a small team to run large-scale AI workloads efficiently in production, with a focus on GPU throughput, observability, and cost control.

As a senior on-site engineer in San Francisco, you will design and operate the backend infrastructure, partner with software engineers, and drive incident practices, rollback automation, and

Qualifications

  • Experience operating production AI/ML systems.
  • Strong infra and systems engineering fundamentals.
  • Experience with cloud platforms, containers, and orchestration.
  • Experience with observability and reliability tooling.
  • Judgment about cost, performance, and operational trade-offs.
  • Clear written and verbal communication.
  • High ownership of production systems.

Responsibilities

  • Design and operate model serving, scaling, and compute infrastructure.
  • Own GPU and inference efficiency, capacity, and cost.
  • Build the platform for provisioning, running, and scaling agents.
  • Build observability for AI systems: tracing, monitoring, and alerting.
  • Keep production AI systems stable, debuggable, and recoverable.
  • Automate deployment, rollback, and environment management.
  • Set reliability standards and incident practices for AI workloads.
  • Partner with engineers to make the platform fast to build on.

Skills

Production AI
Cloud platforms
Containers
Observability
Reliability tooling
Ownership
Clear communication

Tools

Kubernetes
Terraform
Docker

Job description

Zof AI seeks an experienced MLOps Engineer to own the platform for AI systems, spanning model serving, scaling, and reliability. You will push the platform that enables a small team to run large-scale AI workloads efficiently in production, with a focus on GPU throughput, observability, and cost control.

As a senior on-site engineer in San Francisco, you will design and operate the backend infrastructure, partner with software engineers, and drive incident practices, rollback automation, and

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