# AI算法工程师

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/7688662233366235435/detail

## Role description from source

1. Agent 评测体系建设：设计并落地 Agent 能力评测框架，定义评测维度（任务完成率、推理能力、工具调用准确性、鲁棒性等），构建自动化评测流水线，支撑模型与 Agent 系统的持续迭代。
2. Agent 自动化测试平台建设：搭建面向 Agent 产品的自动化测试平台，覆盖端到端场景回归、Prompt 回归、对抗性测试等能力，保障 Agent 线上质量与稳定性。
3. Agent 任务识别与治理：对 Agent 执行链路进行任务识别、意图拆解与行为分析，建立任务分类体系与异常治理机制，推动 Agent 在真实业务场景中的可控落地。
4. 多模态大模型落地应用：参与多模态大模型（视觉-语言、语音-语言等）在 Agent 场景中的工程化落地，包括能力评估、场景适配、效果优化与性能调优。
任职要求
1. 计算机科学、人工智能、数学等相关专业硕士及以上学历，3 年以上 NLP/CV/多模态相关工作经验。
2. 扎实的机器学习与深度学习基础，熟悉 Transformer 架构，有大模型（LLM/MLLM）训练或微调经验。
3. 了解 Agent 技术栈（ReAct、Tool Use、Planning、Memory 等），有 Agent 系统开发或评测经验者优先。
4. 熟悉 Prompt Engineering、RAG、Function Calling 等大模型应用技术，有实际项目落地经验。
5. 具备良好的工程能力，熟练使用 Python，熟悉主流深度学习框架（PyTorch 等）和大模型推理框架（vLLM、TGI 等）。
6. 具备数据分析能力，能从 Agent 执行日志中提取规律、定位问题并驱动优化。
7. 有自动化测试、CI/CD 流水线或平台化建设经验者优先。
8. 良好的沟通协作能力，能跨团队推进技术方案落地。
接口顶部原始条件（未做资格推断）
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opening_id: b2788a76-f645-4ed3-81ad-fa2615f8e1b9

`anm openings save --id b2788a76-f645-4ed3-81ad-fa2615f8e1b9`