AWS AI Engineer

Deploy, manage, and troubleshoot Kubernetes clusters, including disconnected installations Lead EKS cluster deployment, upgrades, and production support activities Implement and manage LLMOps workflows, including monitoring and scaling generative AI systems Build and maintain agentic workflows using frameworks such as LangChain, CrewAI, or AutoGen Design and optimize RAG pipelines with vector databases for low-latency performance Implement AI governance practices, including guardrails and cost optimization strategies Develop Internal Developer Platforms (IDP) for AI experimentation and deployment

Kubernetes Administration & Troubleshooting 5+ years AWS EKS Deployment & Operations 5+ years LLMOps / Generative AI Systems 4+ years Agentic Frameworks (LangChain, CrewAI, AutoGen) 3+ years Vector Databases & RAG Optimization 3+ years AI Governance & Security Guardrails 3+ years

Preferred Skills Internal Developer Platform (IDP) Development for AI Cost Optimization Strategies for LLM Consumption Production-level AI System Monitoring and Scaling

Preferred Certifications AWS Certified Solutions Architect (Active Certification Required) AWS Certified AI Foundations or AWS Certified AI Professional Certified Kubernetes Administrator (CKA) (Active Certification Required)