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Open nowPosted 70 days ago

AI Agent 开发工程师(标注)

xiaopeng/index1,578 open roles

Where
Guangzhou, Guangdong, Chinese Mainland
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Your applicationOpen nowAI Agent 开发工程师(标注)xiaopeng/index · Guangzhou, Guangdong, Chinese Mainland
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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on xiaopeng/index's own form.

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3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. xiaopeng/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 70 days ago

xiaopeng/index median: 1 days open

The posting

1. AI Agent 开发:负责 AI Agent Service、自动标注、AI 辅助研发等业务场景的 Agent 应用设计与落地——业务适配、Harness 工程、Agent 工作流、RAG,并以版本化接口交付业务系统接入; 2. 评测体系:构建 Benchmark 评测集与判分标准,设计对照实验,产出可复现的效果对比报告,用数据驱动策略选型; 3. 模型微调:基于开源模型开展微调实验(数据构建、SFT/LoRA 训练、对照评测),验证对业务的收益并逐步推进到大规模微调; 4. 平台 AI 迭代:参与采标平台其他 AI 功能(AI 辅助配置、智能质检等)的开发与迭代,沉淀可复用的场景适配与交付流程。

1. 本科及以上学历,硕士优先,1~3 年 AI 应用或算法工程相关开发经验; 2. 熟练使用 Python 或 Node.js,具备扎实的工程功底和良好的编码习惯(微调相关工作以 Python + PyTorch 为主); 3. 了解 Transformer 基本原理,熟悉 LLM/VLM 应用开发流程:API 接入、Prompt/Context/Harness 工程、结果解析与效果评估; 4. 有模型微调实战经验:参与过完整的微调项目闭环(数据构建 → SFT/LoRA 训练 → 效果评估); 5. 具备实验设计与分析能力,习惯用对照实验和数据说话; 6. 自驱、沟通协作良好,能独立推进一条业务线,与算法、业务、基建多方协同。

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