
KeepAgent 研发技术专家(J12084)
社招全职5年以上地点:北京状态:招聘
任职要求
1、统招本科及以上学历,计算机、人工智能、通信或相关专业,5 年以上研发经验; 2、扎实的计算机基础,具备优秀的系统设计与编码能力,熟练掌握 Python/Java/C++ 至少一门主流语言; 3、对大模型(LLM)有深入理解,熟悉 Transformer 架构、长上下文机制、参数高效微调(PEFT/LoRA)等; 4、有 AI Agent 系统设计与实践经验,熟悉 Memory、RAG、工具调用(API/插件体系)、任务规划执行、链式推理(Chain-of-Thought)、并行/异步调度等技术; 5、有多智能体(Multi-Agent)协作框架经验(如 AutoGen、LangGraph、CrewAI 等),并在实际业务中落地过; 6、具备 AI 解决方案架构能力,曾主导过至少一个 AI Agent 项目(如智能客服、虚拟教练、个人助手、流程自动化 Agent 等); 7、加分项: - 熟悉运动健康领域知识,有个性化推荐/健康管理应用经验; - 具备跨平台(移动端/IoT/可穿戴设备)Agent 应用落地经验。
工作职责
1、负责 Keep AI Coach Agent 技术研发,构建 多智能体(Multi-Agent)框架 与 Memory/长期交互机制 等基础能力; 2、设计与开发 运动健康领域垂直 Agent,结合领域知识图谱与个性化推荐机制,提升大模型在 健身、运动指导、健康管理 等场景下的应用效果; 3、推动 RAG(检索增强生成)体系、工具调用(Tool Use)、任务规划与执行(Planning & Execution)等关键技术在实际业务中的落地; 4、负责 Agent 系统稳定性与可扩展性,设计高可用架构、容灾与降级方案,保障系统在 大规模用户并发与极端场景 下的稳定运行; 5、建立 Agent 评测体系与反馈闭环,通过在线实验与数据迭代不断优化效果,推动 AI 价值在用户增长与留存中的落地。
包括英文材料
学历+
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
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.
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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.
IOT+
https://microsoft.github.io/IoT-For-Beginners/#/
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics.
https://www.ibm.com/think/topics/internet-of-things
The Internet of Things (IoT) refers to a network of physical devices, vehicles, appliances, and other physical objects that are embedded with sensors, software, and network connectivity, allowing them to collect and share data.
https://www.youtube.com/watch?v=1KVrBjSqS5s
The term 'Internet of Things' was coined by Kevin Ashton in 1999 to refer to connecting the Internet to the physical world via sensors.
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