Senior AI DevOps Engineer

Role

Sr. AI Dev Ops Engineer

Location:

Remote (Must reside in the US in CST or EST)

Benefits:

Competitive salary

Opportunity for advancement

Training & development

Be at the forefront of AI and infrastructure enablement. In this role, you’ll help build a next-gen AI-driven toolkit that transforms how technical support teams operate—streamlining onboarding, reducing dependency on traditional documentation, and enabling faster troubleshooting at scale.

• 100% remote flexibility
• Long-term stability in a cutting-edge contract role
• Work at the intersection of AI, virtualization, and enterprise-scale automation
• Contribute to tools used by global technical support teams

• Design and implement an AI-powered toolkit integrated with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), built to support hybrid IT environments. This comprehensive toolkit will empower technical support teams across areas, including:
• Kubernetes Fundamentals:
  Pods, deployments, name spaces, eviction, and network policies
• Virtualization:
  Open Shift Virtualization, KVM, and VM orchestration
• Mixed Workload Management:
  Best practices for managing VMs + containers
• Resource Optimization:
  Memory, CPU, and storage allocation across workloads
• Networking & Integration:
  Kubernetes networking, UDNs, F5 SPK
• Persistent Storage & Fault Tolerance:
  Storage tuning, replication, and HA strategies
• Live Migration:
  Seamless VM/database migration with uptime focus
• Automation:
  Provisioning, scaling, orchestration in Webscale environments
• AI/LLM Tooling:
  Contextual retrieval, chatbot pipelines, and automation flows
• Troubleshooting & Updates:
  Real-time log analysis and system patching
• Custom Configurations:
  Tailored networking/storage for enterprise deployments
• High Availability:
  Resilient design for fault-tolerant multi-platform systems

• Deep experience in Kubernetes, Open Shift 4.18, and virtualization stacks
• Proficiency in designing AI/LLM-based tools, particularly RAG frameworks
• Strong understanding of enablement systems and documentation standards
• Self-motivated, autonomous, and comfortable with remote contract work
• Capable of translating complex systems into AI-powered assistive tools

• Engagement Type:
  Long-term contract with consistent deliverables
• Impact Focus:
  Enable rapid onboarding and support scalability for global teams

This is a remote position.