AI Infrastructure Engineer / MLOps

Benefits:

• 401(k)

AI Infrastructure Engineer / MLOps San Francisco Bay Area, CA (100% Onsite) EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms running in cloud native environments.

Responsibilities

• Design, deploy, and support scalable AI/ML infrastructure platforms
• Manage Kubernetes environments running in AWS EKS
• Build and maintain infrastructure automation using Python and Ansible
• Support MLOps workflows including model deployment, monitoring, and operationalization
• Troubleshoot complex Linux-based production environments
• Partner with engineering teams to improve platform reliability, scalability, and performance
• Implement observability, monitoring, and operational best practices across AI systems
• Support modern AI architectures and agent-based workflows

Required Skills

• 10+ years of Linux systems administration and engineering experience
• 10+ years of Python development and automation experience
• 5+ years of Kubernetes administration and operations
• 5+ years of AWS cloud experience, including AWS EKS
• 5+ years of infrastructure automation using Ansible
• Experience supporting production-scale distributed systems
• Strong troubleshooting and performance optimization skills
• Experience working in enterprise environments

Preferred Skills

• Experience with MLOps platforms and machine learning infrastructure
• Exposure to Agentic AI architectures and AI orchestration frameworks
• Experience supporting LLM-based applications and AI workloads
• Knowledge of infrastructure-as-code and DevOps best practices
• Experience with monitoring, logging, and observability platforms