We are seeking an Azure Cloud Engineer in Singapore. You will remediate security and configuration gaps across our Azure estate and build network landing zone components for workloads migrating from on-premises. This is a hands-on delivery role: build, test, migrate and document to the agreed architecture with disciplined change control, rollback planning and clear knowledge transfer.
Real-world Feedback Loops: Leverage multi-channel user feedback and real-world task data as primary research signals; design experiments and datasets to continuously improve agent and retrieval performance in production scenarios
2-8+ Year hands-on experience with LLM, RAG and AI agent systems in production
Manage and optimize cloud infrastructure (AWS, Alicloud) for performance, cost, and reliability
Develop Devops platform like online load test, change management system
Leverage LLMs or AI frameworks (OpenAI, Dify, Agno, LangChain) to enhance automation in infrastructure operations, including intelligent alert triage, RCA (Root Cause Analysis), and chat-based operations (ChatOps)
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