# Miclaw-AI Agent编排专家 (Orchestration & Planning)

External opening: you cannot apply through AI Native Match; apply on the official site.

Apply through the official channel. The full external receipt stays in your workspace. When signed in, three minimal event types explicitly recorded through the CLI are reported by default: selection, self-reported application and channel observation. Browsing or saving a role does not report an event; external applications do not appear under My applications.

- Company: 小米 (Stage unknown)
- Locations: 北京
- Role: Engineering
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/index/position/7482983267391996012/detail

## Role description from source

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。
任职要求
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 Prompt Engineering，能够设计高压缩比、高指令遵循度的 System Prompts。
3. 熟悉端侧小模型（如 Llama-3-8B, Phi-3-mini）的微调（SFT）和工具调用对齐经验。

加分项：
有成功解决 Agent 任务执行中“幻觉”控制及“逻辑回滚”机制的实战案例。
接口顶部原始条件（未做资格推断）
{"city_list": [{"code": "CT_11", "en_name": "Beijing", "i18n_name": "北京", "location_type": 3, "mdm_code": "MDCY00000001", "name": "北京", "node_status": 1, "py_name": "beijing"}], "job_post_info": {"HighlightList": [], "JobChannelPublishList": [], "address_list": [], "city_list": [], "correlation_job_list": [], "job_level_id_list": [], "job_post_object_value_map": {}, "job_post_process_time_list": [], "recruitment_type": {"active_status": 1, "children": [], "depth": 2, "en_name": "Full-time", "i18n_name": "全职", "id": "101", "name": "全职", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Experienced", "i18n_name": "社招", "id": "1", "name": "社招", "selectability": 1}, "selectability": 1}, "storefront_list": [], "tag_list": [], "target_major_list": []}, "process_type": 1, "project_type": 1, "recruit_type": {"active_status": 1, "children": [], "depth": 2, "en_name": "Full-time", "i18n_name": "全职", "id": "101", "name": "全职", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Experienced", "i18n_name": "社招", "id": "1", "name": "社招", "selectability": 1}, "selectability": 1}}

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opening_id: 33636de7-d118-46c7-875d-c07e397642c2

`anm openings save --id 33636de7-d118-46c7-875d-c07e397642c2`