京东大语言模型应用工程师
社招全职3年以上软件开发岗地点:北京状态:招聘
任职要求
1. 计算机或相关专业本科及以上学历,三年以上大型系统开发设计经验,具有扎实的计算机科学功底,扎实的编程基础和数据结构算法基础,良好的编程能力和问题解决能力; 2. 熟悉LLM和Python,能独立部署DS、Qwen、LLama等大模型,适配过国产信创软硬件,可调优大模型以及知识库和agent系统; 3. 熟练使用k8s和docker安装部署应用系统; 4. 熟悉RAG系统的各个环节,包括多模态模型精细化抽取、OCR、文档拆分、意图理解、多轮对话、Embedding、Retrieval和Reranker模型和优化; 5. 熟悉Agent系统的研发,有使用Deep RF优化Agent计划,熟悉长/短期记忆,调用Tool Library规划能力; 6. 有Text2SQL准确率优化和产品打造经验优先; 7. 有知识图谱、GraphRAG、Text2Cypher等相关经验的优先. 符合京东价值观:客户为先、创新、拼搏、担当、感恩、诚信。
工作职责
1. 负责大语言模型的开发与优化,根据业务需求设计并实现高效、稳定的算法模型,提升产品的智能化水平; 2. 参与大语言模型的核心技术研究,探索并应用最新的人工智能技术,解决业务中的复杂问题,推动技术创新; 3. 与产品、运营等团队紧密合作,确保技术方案的有效落地,共同推进项目目标的实现; 4. 负责技术文档的编写与维护,确保技术方案的清晰传达,促进团队内部知识共享与技术积累; 5. 跟踪行业内大语言模型的发展动态,提出技术改进建议,持续优化产品性能与用户体验。
包括英文材料
学历+
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
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
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.
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息,还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
OCR+
https://www.ibm.com/think/topics/optical-character-recognition
Optical character recognition (OCR) is a technology that uses automated data extraction to quickly convert images of text into a machine-readable format.
https://www.youtube.com/watch?v=or8AcS6y1xg
Optical character recognition (OCR) is sometimes referred to as text recognition.
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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