Responsibilities:
1. Prompt Design and Iteration: Optimize prompt words and invocation chains based on business scenarios to improve interaction performance and result consistency.
2. Development Support such as using Python for prototype verification, script development, reproducing official examples, and retesting community applications.
3. Research and track practical prompt toolchains and approaches in domestic and international communities, such as Dify, LangGraph, Claude Code, etc.
Qualifications:
1. Understanding of the invocation chain of large models, with practical knowledge of concepts like Prompt Tokens, structure, and context windows.
2. Solid foundation in Python, capable of reading and writing scripts, calling third-party APIs, and basic debugging.
3. Ability to understand English developer documents, blogs, community topics, and to filter out key information/technical clues.
4. Proficiency in using documentation tools like Markdown/Notion; ability of structured thinking and expression.
5. Enthusiasm and curiosity for AI technology, strong initiative, love for learning and exploration, and interest in the "logic behind the use of technology".
Bonus points for:
1. Hands-on experience with Claude Code, Dify, LangChain, Coze, or other Agent frameworks, with demo/repo to present.
2. Familiarity with link orchestration tools such as LangGraph, LlamaIndex, Haystack, Flowise, ComfyUl, Autogen, etc.
3. Experience in plugin/extension development or in SDK secondary packaging and CICD processes.