钉钉悟空事业部-AI Infra研发高级工程师/专家-悟空
社招全职2年以上技术类-开发地点:杭州状态:招聘
任职要求
● 计算机相关专业本科及以上学历,3年以上后端开发或AI应用工程化相关工作经验; ● 精通Python/Go中至少一门语言,具备扎实的软件工程能力和良好的代码规范,熟悉异步编程模型; ● 深入理解大语言模型的工作原理和能力边界,有LangChain、LlamaIndex、Semantic Kernel等Agent框架的实际项目经验; ● 熟悉向量数据库(Milvus/Pinecone/Chroma等)和检索增强生成(RAG)技术,有大规模向量检…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
作为钉钉悟空AI团队的Agent工程研发工程师,你将负责构建和优化支撑智能Agent应用落地的工程化平台。你需要深入理解大语言模型的能力边界,设计并实现从Agent框架、工具调用编排、记忆管理到多Agent协作的全链路基础设施,将前沿的Agent技术转化为稳定可靠的生产级能力,服务于钉钉亿级用户的智能化场景。 核心职责 ● 负责Agent运行时框架的设计与开发,包括任务规划、工具调用、状态管理、异常恢复等核心模块,保障复杂场景下的执行稳定性和可观测性; ● 设计和实现Agent工具生态体系,包括工具注册发现、参数自动填充、执行结果解析、权限控制等,降低新工具接入成本; ● 构建Agent记忆管理系统,支持短期上下文记忆、长期向量记忆、知识图谱记忆等多层次记忆能力,提升Agent的连续对话和问题解决能力; ● 开发多Agent协作引擎,实现Agent之间的任务分解、协同调度、结果聚合等机制,支撑复杂业务流程的自动化处理; ● 建立Agent评估与优化体系,包括执行成功率、响应延迟、Token消耗等核心指标的监控告警,以及基于用户反馈的持续优化闭环; ● 与产品和算法团队紧密协作,理解业务需求,将Prompt工程、思维链、ReAct等前沿技术转化为可复用的工程组件; ● 参与开源社区贡献,跟踪LangChain、LlamaIndex、AutoGen等主流Agent框架的技术演进,推动团队技术选型和架构升级。
包括英文材料
学历+
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
LlamaIndex+
https://developers.llamaindex.ai/python/framework/getting_started/starter_example/
This tutorial will show you how to get started building agents with LlamaIndex.
https://www.ibm.com/think/tutorials/llamaindex-rag
LlamaIndex is a powerful open source framework that simplifies the process of building RAG pipelines.
内核+
https://www.youtube.com/watch?v=C43VxGZ_ugU
I rummage around the Linux kernel source and try to understand what makes computers do what they do.
https://www.youtube.com/watch?v=HNIg3TXfdX8&list=PLrGN1Qi7t67V-9uXzj4VSQCffntfvn42v
Learn how to develop your very own kernel from scratch in this programming series!
https://www.youtube.com/watch?v=JDfo2Lc7iLU
Denshi goes over a simple explanation of what computer kernels are and how they work, alonside what makes the Linux kernel any special.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
Milvus+
[英文] Tutorials Overview
https://milvus.io/docs/tutorials-overview.md
This page provides a list of tutorials for you to interact with Milvus.
https://www.baeldung.com/milvus-tutorial-intro
In this tutorial, we’ll explore Milvus, a highly scalable open-source vector database.
https://www.youtube.com/watch?v=7ejr_ZzU9jw
Discover the power of Milvus, an open-source vector database revolutionizing AI applications.
https://www.youtube.com/watch?v=Yhv19le0sBw
Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications.
还有更多 •••