MLOps Engineer

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

Compensation

Competitive salary

Plus meaningful equity

About This Role

Zof AI is seeking a MLOps Engineer to own the platform our AI systems run on. This is a consolidated platform role spanning what the market posts as AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving and scaling, GPU and compute efficiency, and the provisioning, observability, and reliability infrastructure that keeps production agents stable. The ideal candidate has operated real AI workloads in production and builds infrastructure that lets a small team run systems well above its weight.

Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment. Experience operating production AI or ML systems at scale is required.

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.

Requirements

• 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.

Nice to have

• Experience with GPU clusters, inference servers, or model gateways.
• Experience running agent workloads or long-lived AI processes.
• Experience with Kubernetes, Terraform, or similar tooling.
• Experience in early-stage platform teams.

AI InfrastructureMLOpsLLMOpsAgent PlatformReliability

What we provide in San Francisco

• MacBook Pro
• Premium AI development tools
• Cursor Ultra
• Claude Code Ultra
• OpenAI Codex Max or equivalent advanced AI tooling
• Access to a high-performance AI product environment
• Close collaboration with leadership, engineering, and customers
• Opportunity to work in the San Francisco AI ecosystem
• Wellness and productivity support where applicable
• Competitive startup environment
• High ownership
• Direct product impact

Benefits may depend on role and final offer terms.

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MLOps Engineer

Zof AI is seeking a MLOps Engineer to own the platform our AI systems run on. This is a consolidated platform role spanning what the market posts as AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving and scaling, GPU and compute efficiency, and the provisioning, observability, and reliability infrastructure that keeps production agents stable. The ideal candidate has operated real AI workloads in production and builds infrastructure that lets a small team run systems well above its weight.

GHS 8,000-16,000 / month

AI Infrastructure MLOps LLMOps Agent Platform Reliability