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Open nowPosted 129 days ago

Agent平台工程师-AI for Science

ByteDance19,208 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAgent平台工程师-AI for ScienceByteDance · Beijing, Chinese Mainland
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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. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 129 days ago

ByteDance median: 2 days open

The posting

1、负责面向Auto Research场景的Agent Platform设计与开发,构建可扩展、可复用的研究自动化框架; 2、设计和实现Agent Workflow、Agent Runtime、多Agent协作等能力,支持复杂研究任务的自动化执行; 3、集成搜索、文献阅读、代码执行、实验运行、结果分析等工具能力,构建统一的Agent Tool Ecosystem; 4、参与Agent Memory、EvaLuation、Observability等关键模块建设,提升系统稳定性、可调试性和迭代效率; 5、与算法、科研及应用团队紧密协作,理解研究场景需求,持续完善平台能力,支撑Auto Research工作流落地。

1、硕士学位及以上,计算机、软件工程、人工智能等相关专业,1年以上后端研发工作经验; 2、熟练掌握Python,具备良好的编程习惯和工程能力,能够独立完成系统设计与功能开发; 3、熟悉LLM应用开发,理解Agent、Tool Calling等基本概念,并具备相关项目实践经验; 4、具备较强的问题分析能力和快速学习能力,能够从0到1完成复杂功能设计与落地; 5、具备良好的沟通与协作能力,对Agent、Auto Research和AI应用方向有浓厚兴趣。

加分项 1、具有LangGraph、OpenAI Agents SDK、AutoGen、CrewAI等Agent Framework使用或开发经验; 2、具有MCP、Browser Agent、Coding Agent、Deep Research等相关项目经验; 3、熟悉AI科研工作流,对文献调研、代码生成、实验自动化等场景有实践经验。

我们期待你 1、对Agent和Auto Research有强烈兴趣,愿意探索下一代科研工作流; 2、关注工程落地与实际价值,能够快速迭代并持续优化系统; 3、乐于在小团队环境中承担责任,推动想法快速变成可运行的产品和平台。

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