AI Summary
Join The AES Group as a Senior AI DevOps Engineer to design and implement an AI-powered toolkit integrated with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). This comprehensive toolkit will empower technical support teams across hybrid IT environments.
Key Highlights
Design and implement an AI-powered toolkit
Empower technical support teams across hybrid IT environments
Work at the intersection of AI, virtualization, and enterprise-scale automation
Technical Skills Required
Benefits & Perks
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
Job Description
Role: Sr. AI DevOps Engineer
Location: Remote (Must reside in the US in CST or EST)
Why Join Us?
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.
Top Benefits
- 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, namespaces, eviction, and network policies
- Virtualization: OpenShift 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, OpenShift 4.18, and virtualization stacks
- Proficiency in designing AI/LLM-based tools, particularly RAG frameworks
- Strong understanding of support enablement systems and documentation standards
- Self-motivated, autonomous, and comfortable with remote contract work
- Capable of translating complex systems into AI-powered assistive tools
- Remote-first: Flexibility to work from any location
- Engagement Type: Long-term contract with consistent deliverables
- Impact Focus: Enable rapid onboarding and support scalability for global teams
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