# 顶尖应届- Agent Harness算法工程师-大模型

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: Algorithm
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/toptalent/position/7646707859220695305/detail

## Role description from source

1、打造行业领先的通用大模型智能体解决方案，落地小米核心业务；
2、构建具备行业影响力的大模型智能体关键技术，并通过发表论文、开源、竞赛等，打造学术影响力。
任职要求
1、计算机相关方向的硕士或博士；
2、有大模型AI Agent相关研究和项目经历，发表过相关方向的顶会论文；
3、对 AI 充满热情，对通用 Agent 具备长期信念，积极拥抱新技术与新范式，主动探索前沿思路。
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": "Regular", "i18n_name": "正式", "id": "201", "name": "正式", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Campus", "i18n_name": "校招", "id": "2", "name": "校招", "selectability": 1}, "selectability": 1}, "storefront_list": [], "tag_list": [], "target_major_list": []}, "process_type": 2, "project_type": 2, "recruit_type": {"active_status": 1, "children": [], "depth": 2, "en_name": "Regular", "i18n_name": "正式", "id": "201", "name": "正式", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Campus", "i18n_name": "校招", "id": "2", "name": "校招", "selectability": 1}, "selectability": 1}}

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opening_id: db892ff6-60c7-47e9-9871-2462416dfd7f

`anm openings save --id db892ff6-60c7-47e9-9871-2462416dfd7f`