Develop large language model applications including prompt engineering, RAG systems, knowledge base Q&A, document parsing, and workflow automation. Work with vector databases, integrate mainstream LLM APIs, and build Agent pipelines. Requires undergraduate study in computer science, software engineering, AI, or related fields; proficiency in Python; familiarity with LLM basics, RAG workflows, and frameworks like LangChain or LlamaIndex; and backend development experience with tools like FastAPI or Flask.
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