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