AI Agent 产品经理 北京 社招 全职 职位 ID：A02442 职位描述 本岗位聚焦企业级 Agent 解决方案，面向企业业务部门的效率提升场景，识别高价值Agent应用场景，制定产品路线图1. 深入业务部门调研提效需求，识别高价值 Agent 应用场景，制定产品路线图定义 Agent 技能优先级（Skills Backlog）和记忆策略，撰写 PRD 并推动落地2. 深度研究 Manus、Genspark、OpenClaw、Perplexity 等竞品 Agent 产品，输出竞品分析报告（功能拆解、交互体验、核心差异）3. 设计 Agent 交互流程与对话脚本，协调算法、开发、业务团队协作4. 建立提效指标体系，联动评测工程师追踪 Agent 质量与用户满意度，数据驱动迭代5. 编制 Agent 使用培训材料，协助赋能全员高效使用 职位要求 1.
AI Agent 架构师 / Tech Lead 北京 社招 全职 职位 ID：A250222 职位描述 - 主导企业AI Agent系统整体技术架构设计，覆盖Agent Runtime、Memory、Skills、MCP协议、Harness安全层等核心模块- 制定技术选型方案，评估并整合OpenClaw、Manus等新一代Agent框架，同时兼容LangChain/LangGraph等成熟框架的已有能力- 设计Agent Loop执行引擎、多通道Gateway、任务队列调度机制，确保系统可扩展性与稳定性- 规划Agent安全架构（OpenClaw/NanoClaw/IronClaw三层模型），确保企业数据安全合规- 建立Agent评测体系，定义评测维度（任务完成率、推理准确性、工具调用成功率、幻觉率等），推动持续质量改进- 带领Agent开发团队，制定技术规范，主导架构评审，持续跟踪行业前沿 职位要求 - 本科及以上学历，计算机/AI相关专业，5年以上后端架构或AI系统开发经验- 深入理解AI Agent架构，熟悉OpenClaw核心机制- 扎实的传统Agent框架经验：精通LangChain、LangGraph、CrewAI、AutoGen中至少两种，有多Agent协作/Workflow编排的生产级落地经验- 熟悉MCP（Model Context Protocol）协议，有MCP Server端设计与开发经验- 有Agent评测体系搭建经验，熟悉RAGAS、DeepEval、PromptFoo、AgentBench等评测框架或基准- 精通Python，熟悉分布式系统设计、微服务架构- 熟悉主流LLM API（OpenAI、Anthropic、通义千问等），了解模型路由与Failover策略- 有Manus、Genspark、OpenClaw等新一代Agent平台的使用或集成经验者优先
Agent 全栈开发工程师 北京 社招 全职 职位 ID：A22862A 职位描述 1. 基于OpenClaw框架开发企业级AI Agent，实现多场景任务自动化（知识问答、审批提醒、数据查询、会议纪要等）2. 开发和维护MCP Server端工具链，使Agent能安全调用内部业务系统3. 基于LangChain/LangGraph搭建Agent Workflow，实现复杂多步推理链路与条件分支控制4. 参与Agent Skills模块开发，构建可复用、可编排的企业技能库5. 实现Agent与飞书机器人的消息通道对接，支持多轮对话、卡片交互、文件处理6. 参与Agent评测用例编写与回归测试，确保Agent质量可度量、可追溯 职位要求 1. 本科及以上学历，3年以上后端开发/AI应用开发经验，至少1年LLM Agent相关项目经验2. 精通Python，熟悉TypeScript/Node.js3. 熟练使用LangChain、LangGraph，有基于Graph的Agent状态机开发经验4. 熟悉OpenClaw/Clawdbot框架，了解Agent Loop、Gateway、Queue等核心机制5. 有MCP协议开发经验，能独立构建MCP Server并注册工具6. 深入理解LLM能力边界，有Prompt Engineering实战经验7. 熟悉Docker/K8s容器化部署，有CI/CD实践经验8. 了解Manus Agent的多步任务执行模式、Genspark的搜索Agent架构者加分9. 有CrewAI、AutoGen、Dify等Agent平台开发经验者加分 投递...
小爱PLUS-大模型产品经理 北京 社招 全职 职位 ID：A218454 职位描述 1、参与小爱云端大模型版本的产品规划与节奏定义，包括 Agent Loop、慢系统场景、记忆等核心模块；2、负责三方生态接入与打造，设计相关 Skill/服务的接入框架：标准协议、准入规范、质量评估体系；3、结合Agent Harness 的能力边界&演进节奏，运用三方能力推动重点场景范式迭代与体验升级，包括但不限于影音娱乐、通勤出行、生活服务 等垂类 职位要求 1、5 年以上互联网产品经理经验，3 年以上 AI产品经理经验，深刻理解 LLM Agent 相关原理；2、成熟使用AI相关工具，并了解 MCP或类似 Agent-Tool 协议设计；3、具备相关垂类建设经验，并对用户体验有极高敏感度； 投递...
Miclaw-Al Agent编排专家 （Orchestration & Planning） 北京 社招 全职 职位 ID：A186142A 职位描述 1. 架构设计：设计 MiClaw 在移动端的自主 Agent 编排框架，实现复杂任务的自动化拆解与执行（Planning & Reasoning）。2. 编排优化：研发基于 ReAct、Plan-and-Execute 或 Multi-Agent 的协同模式，确保 Agent 在手机端不陷入逻辑死循环（Loop Detection）。3. 工具调用 (Tool-use)：定义端侧工具调用规范，利用 MCP/A2A/appfunctions 等协议打通手机系统能力（日历、相册、快捷指令等）。4. 请求路由：设计端云协同的动态路由机制，根据任务意图决定在本地推理还是请求云端模型。 职位要求 1. 5年以上AI或软件架构经验，有LangGraph、AutoGPT、CrewAI 等框架深度使用或自研经验者优先。2. 精通
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