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AI Infrastructure Engineer/MLOps
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-17
Listing for:
EITACIES Inc.
Full Time
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
SRE/Site Reliability, AWS, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Benefits
- 401(k)
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
- 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
- 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 Dev Ops best practices
Experience with monitoring, logging, and observability platforms
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