3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability). • Experience building, delivering, or supporting AI-enabled solutions using Large Language Models (LLMs), Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), vector databases, AI orchestration frameworks, or related AI technologies in enterprise environments.