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AI 应用与 Agent 能力建设\n将大语言模型应用到真实业务场景中，开发信息提取、智能问答、内容生成、问题诊断和任务执行类应用; \n设计 AI 与 RPA 结合的完整链路，例如：\nAI 理解用户需求; \n拆解任务并生成执行计划; \n调用 RPA、浏览器、接口或脚本完成操作; \n对执行结果进行判断和校验; \n在异常情况下自动重试、调整方案或转人工处理; \n探索 AI Agent、Tool Calling、知识库、工作流编排、多模态等技术的实际落地方式; \n参与 AI 自动化产品原型设计、技术验证及工程化建设。\n3. 业务场景与内容建设\n调研企业真实业务中的自动化与 AI 使用场景; \n将复杂业务流程拆解为可复制、可推广的解决方案; \n参与影刀 RPA 应用、指令、模板、案例及相关内容的建设; \n总结项目中的技术方法、业务经验和交付规范，形成团队可复用的资产; \n从用户反馈和使用数据中发现问题，持续优化产品能力和使用体验。\n4. 客户项目与 FDE 实践\n参与客户需求沟通、业务调研和技术方案设计; \n快速理解客户业务系统、操作流程、数据结构和核心痛点; \n在不确定性较高的情况下，完成方案验证、原型开发和项目交付; \n与客户、产品、研发及业务团队协作，推动方案真正上线并产生业务价值; \n随着团队方向发展，逐步承担 FDE 类型的工作，深入客户一线解决复杂问题。\n任职要求 / Requirements\n任职要求\n具有1年及以上软件开发、自动化开发或相关项目经验; \n熟练使用 Python，具备良好的编码习惯和工程化能力，能够独立完成项目设计、开发、调试及部署; \n熟悉以下一种或多种自动化技术：\nRPA 产品; \nPlaywright; \nSelenium; \n浏览器插件; \nWindows UI Automation; \nPyAutoGUI; \nWin32 或其他桌面自动化技术; \n具备实际的 AI 应用开发经验，了解以下一种或多种能力：\nPrompt 设计; \nFunction Calling / Tool Calling; \nAI Agent; \nRAG 或知识库; \n工作流编排; \n多轮对话; \n结构化信息提取; \n多模态模型应用; \n能够调用主流大语言模型 API，并将模型能力集成到实际业务系统中; \n熟悉 HTTP、REST API、JSON、Webhook 等常见系统集成方式; \n具备基本的后端开发能力，熟悉 FastAPI、Flask、Django 等框架中的至少一种; \n熟悉 MySQL、PostgreSQL、Redis 等常用数据组件中的一种或多种; \n能够使用 Git、Docker 和 Linux 完成日常开发、部署与问题排查; \n具备较强的业务理解、需求分析和问题拆解能力，能够把模糊需求转化为可执行方案; \n具备良好的沟通能力和交付意识，愿意直接面对用户和客户，并对最终结果负责。\n加分项\n有影刀 RPA 或其他 RPA 产品的使用、开发经验; \n有电商、跨境电商、客服、财务、供应链、运营等业务场景经验; \n有完整的企业自动化或 AI 项目交付经验; \n使用过 OpenAI Agents SDK、LangGraph、Microsoft Agent Framework、Agno、Dify、Coze、n8n 等框架; \n有飞书、企业微信、钉钉、Teams、Slack 等平台集成经验; \n有 OCR、文档解析、截图识别、日志分析或代码诊断经验; \n有 React、Vue、浏览器插件等前端开发能力; \n有 SaaS 产品、开发者工具或低代码产品经验; \n有技术咨询、解决方案工程师、售前技术或 FDE 类工作经验; \n有优秀的技术文章、开源项目、应用作品或项目演示。\n我们希望你具备的特质\n能深入业务\n不只是等待明确需求，而是能够理解业务为什么这样运行，找到真正值得解决的问题。\n能快速动手\n面对陌生系统或复杂场景，能够快速搭建原型、验证方案，并通过实际运行结果持续调整。\n能解决真实问题\n不仅关注代码是否完成，也关注方案是否稳定、用户是否能使用、业务结果是否产生。\n能持续沉淀\n能够把一次性的项目经验，转化为团队可以复用的组件、方法、模板和产品能力。\n对 AI 有理性认识\n既对 AI 新技术保持敏感，也能判断什么场景应该使用 AI、什么场景更适合传统自动化。\n你可能参与的项目\n将影刀 RPA 与大语言模型结合，构建可以理解自然语言并自动执行任务的智能助手; \n开发电商、运营、客服、财务等领域的自动化应用和解决方案; \n构建基于日志、截图和源码的 AI 辅助问题诊断系统; \n开发支持任务规划、工具调用、状态判断和异常恢复的 AI Agent; 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