
商汤大装置-Agent开发实习生
实习兼职技术族-实习地点:北京 | 上海状态:招聘
任职要求
1. 计算机、人工智能或相关专业在读,具备良好的 Python 编程基础。 2. 对大语言模型(如 OpenAI、Llama、Qwen 等)有基本了解,接触过 API 调用或相关项目。 3. 了解或使用过 LangChain、LlamaIndex、AutoGen 等 Agent 框架之一。 4. 对 RAG、向量数据库(如 Milvus、Chrom…
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工作职责
在导师指导下,参与大模型智能体(Agent)的开发与应用落地,包括但不限于: 1. 参与 Agent 应用的设计与实现,探索从对话到任务执行的智能体能力。 2. 协助设计和优化 Prompt 策略(如 CoT、ReAct),提升模型输出的稳定性与可用性。 3. 基于 LangChain、LlamaIndex 等框架,搭建 RAG(检索增强生成) 应用链路。 4. 实现 Agent 对外部工具的调用(API / 数据库 / 内部系统),支持简单的任务规划与自动化流程。 5. 参与 Demo、内部工具或实验性项目的开发与迭代。
包括英文材料
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.
Llama+
https://github.com/LlamaFamily/Llama-Chinese
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用。
https://www.llama.com/docs/overview/
This guide provides information and resources to help you set up Llama including how to access the model, hosting, how-to and integration guides.
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.
AutoGen+
https://microsoft.github.io/autogen/0.2/docs/Getting-Started/
AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks.
https://www.youtube.com/watch?v=JmjxwTEJSE8
Whether you know everything there to AI Agents or are a complete beginner, I believe there is something to learn here.
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.
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