西安 python 招聘（工资待遇要求）

Key Responsibilities
1. Participate in the migration from Dify to LangGraph agent framework
- Understexisting Dify workflows, agents tools
- Re-design implement equivalent (improved) workflows using LangGraph
2. Develop maintain Python-based AI agents, including:
- Agentchestration (planner / execut/ tool-calling patterns)
- Multi-step task execution state management
3. Design optimize context construction prompt engineering fLLM-based agents
4. Integrate agents with existing services (e.g. document parsing, retrieval, rule checking, APIs)
5. Collaborate with internal tech team on architecture alignment, code review best practices
4. Produce clear technical documentation fagent workflows framework migration.
Required Skills & Experience
1. Solid Python programming skills, with clean maintainable coding practices
2. Hands-on experience with Dify (workflow design, agent configuration, tools, prompts)
3. Hands-on experience with LangGraph, including:
- Graph-based agentchestration
- State, memory conditional routing
4. Strong understanding of Agentic AI concepts, such as:
- Agentchestration
- Tool calling
- Multi-agent multi-step reasoning workflows
5. Strong experience in prompt engineering & context engineering
6. Familiar with LLM-based application development (Qwen/ AWS Bedrock / Azure OpenAI / similar)
Preferred (Nice to Have)
1. Experience with RAG pipelines (document retrieval, chunking, embedding)
2. Familiarity with enterprise AI considerations (logging, traceability, errhandling)
3. Experience in healthcare / pharma / compliance-related AI projects is a plus

主要职责
1. 参与从 Dify 迁移到 LangGraph 代理框架的过程
- 了解现有的Dify工作流程、代理和工具
- 重新设计和使用LangGraph实现等效（或改进）的工作流程
2. 开发和维护基于Python的AI代理，包括：
- 代理编排（规划器/执行者/工具调用模式）
- 多步骤任务执行与状态管理
3. 设计和优化基于LLM的代理的上下文构建与提示工程
4. 将代理与现有服务（如文档解析、检索、规则检查、API）集成
5. 与内部技术团队合作，进行架构对齐、代码审查和实践
4. 为代理工作流程和框架迁移制作清晰的技术文档。
必备技能与经验
1. 扎实的Python编程技能，编码流程干净且易于维护
2. Dify的实际操作体验（工作流程设计、代理配置、工具、提示）
3. LangGraph的实际操作经验，包括：
- 基于图的代理编排
- 状态、内存和条件路由
4. 对智能人工智能概念的深入理解，例如：
- 代理编排
- 工具调用
- 多代理或多步骤推理工作流程
5. 在提示工程和上下文工程方面有扎实的经验
6. 熟悉基于大型语言模型的应用开发（Qwen/AWS Bedrock/Azure OpenAI 等）
优选（拥有就好）
1. RAG管道经验（文档检索、分块、嵌入）
2. 熟悉企业AI相关考量（日志记录、可追溯性、错误处理）
3. 有医疗/制药/合规相关AI项目经验者加分