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Xiaomi · 北京

# AI Agent 架构师 / Tech Lead

北京 Manager or lead 

Listed on Xiaomi ’s official careers site. Posted September 17, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/index/position/7624368836560718118/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / AI Agent 架构师 / Tech Lead

## Job description
- 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

## Qualifications

- 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

## At a glance
- Posted by the employer: Sep 17, 2026
- First seen by OpenNash: Aug 1, 2026
- Last checked: Oct 19, 2026
- Listed for: 79 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/index/position/7624368836560718118/detail)

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