Build intelligent applications on top of large language model APIs, covering Agent workflows, intelligent Q&A, automated report generation, and process automation assistants. Design and implement RAG (Retrieval-Augmented Generation) pipelines, including text chunking strategies, Embedding management, vector store integration, and retrieval quality optimization. Build AI Agents with tool-calling and function-calling capabilities to orchestrate complex multi-step business workflows such as merchant onboarding review, document verification, and compliance filing. Write, evaluate, and optimize prompts to ensure stable, accurate, and business-relevant model outputs manage multi-turn conversation state and context memory to maintain coherence and reliability. Package AI capabilities into reusable, versioned APIs or microservices, following microservices design principles. Design the overall architecture of AI applications with service-oriented, modular, and multi-tenant characteristics to su...