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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. agirobot/campusrecruitment postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 74 days ago

agirobot/campusrecruitment median: 1 days open

The posting

1. 参与LLM Agent应用的设计与开发,包括多模态输入、意图识别、多轮对话、工具调用及任务规划; 2. 参与Agent Runtime、会话上下文、结构化Memory及状态机驱动的任务编排; 3. 参与RAG链路建设,包括文档解析、文本分块、向量化、混合检索、重排序及答案生成; 4. 参与Multi-Agent协作机制的开发,包括任务路由、任务拆解、工具调用、结果聚合及异常兜底; 5. 参与Prompt版本管理、结构化输出、幻觉防御以及成本和响应延迟优化; 6. 参与离线评测和线上指标体系建设,跟进Bad Case分析与优化; 7. 关注大模型及智能体技术发展,参与新技术调研、验证及业务场景落地。

1. 2027届本科及以上学历,计算机、人工智能、软件工程、大数据等相关专业优先; 2. 具备扎实的Java编程基础,了解Java 17+及Spring Boot的基础使用; 3. 了解Redis、MySQL、HTTP请求、消息队列及单元测试等基础技术; 4. 了解LangChain、LangChain4j、LangGraph中的至少一种框架; 5. 了解ReAct、Plan-and-Execute、Function Calling等Agent基础原理; 6. 理解RAG核心流程,了解Milvus、Qdrant、Elasticsearch等任意一种向量检索工具; 7. 具备良好的代码规范、问题排查、学习和团队协作能力; 8. 有Agent或RAG项目、大模型应用竞赛、开源项目及技术博客经历者优先; 9. 接触过ASR、VLM、TTS、Spring AI、vLLM或SGLang者加分。

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