Sr. AI/LLM DevOps Engineer

AI/LLM DevOps Engineer Duration: 12+ months / Long-Term (yearly renewals) Location: Remote (Must reside in the US in CST or EST) Rate type: W2 ONLY We’re seeking a highly skilled AI/LLM Toolkit Developer to join a long-term remote contract engagement focused on building a cutting-edge enablement solution for technical support teams. This role involves developing a comprehensive toolkit that leverages AI agents and large language models (LLMs) with retrieval-augmented generation (RAG) to streamline onboarding and reduce reliance on complex documentation. 🔧 What You’ll Build: You’ll design and implement a robust, AI-powered toolkit that empowers support teams to manage and troubleshoot hybrid environments with ease. The toolkit will cover: • Kubernetes Foundations: Core concepts like pods, deployments, services, namespaces, limits, eviction policies, and network policies. • Virtualization Layer: Deep dive into OpenShift Virtualization and KVM-based VM management. • Mixed Workloads: Best practices for managing VMs and containers on a unified platform. • Containerization: Communication and coordination between VMs and containers, including useful container tools. • Resource Management: Efficient handling of CPU, memory, and storage for both VMs and containers. • Networking: Kubernetes networking, User Defined Networks (UDNs), and F5 SPK integration. • Storage: Persistent volume frameworks, tuning storage traffic, fault tolerance, and database replication strategies. • Live Migration: Seamless VM migration with minimal downtime, including database and storage considerations. • Automation & Orchestration: Automating provisioning, deployment, and scaling in a Webscale environment. • Troubleshooting & Maintenance: Diagnosing issues, analyzing logs, and applying software updates. • Configuration & Customization: Tailored networking and storage solutions to meet specific use cases. • High Availability: Strategies for fault tolerance and resilient application design across various workloads. ✅ Ideal Candidate: • Strong experience with Kubernetes, OpenShift 4.18, and virtualization technologies • Familiarity with AI/LLM integration, especially RAG-based systems • Proven ability to create technical enablement tools and documentation • Comfortable working independently in a remote, contract-based environment 🌍 Work Environment: • Remote-first: Work from anywhere • Long-term contract: Stability with flexibility • Impactful work: Help shape how support teams onboard and operate at scale If you're passionate about AI, cloud-native infrastructure, and building tools that make complex systems easier to manage—we’d love to hear from you.