Production AI MLOps Engineer - Equity & High Impact

Zof AI, Inc.; San Francisco (CA); On-site; USD 8,000 - 16,000; Full time

Benefits offered by this job

MacBook Pro

Premium AI tools

Cursor Ultra

Claude Code Ultra

OpenAI Codex Max

High-performance AI environment

Close collaboration with leadership

SFAI ecosystem access

Wellness & productivity support

Startup environment

High ownership

Direct product impact

Job summary

Zof AI, Inc. in San Francisco, CA is hiring a full-time MLOps Engineer to own the platform our AI systems run on.

This role spans AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving, GPU efficiency, and reliability infrastructure to keep production agents stable. Ideal candidates have operated production AI workloads at scale and can build infrastructure that lets a small team run systems well above its weight.

Qualifications

• Experience operating production AI, ML, or high-scale backend systems.
• Strong infrastructure and systems engineering foundation.
• 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.
• Comfort operating in a fast-moving environment.
• High ownership of systems in production.

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

Communication

Ownership

Tools

Kubernetes

Terraform

Job description

Zof AI, Inc. in San Francisco, CA is hiring a full-time MLOps Engineer to own the platform our AI systems run on.

This role spans AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving, GPU efficiency, and reliability infrastructure to keep production agents stable. Ideal candidates have operated production AI workloads at scale and can build infrastructure that lets a small team run systems well above its weight.