字节跳动服务端高级工程师-智能数据研发
社招全职3年以上A96476A地点：上海状态：招聘
任职要求
1、计算机、软件工程、数据工程等相关专业本科及以上学历，3年及以上后端开发经验； 2、精通Java后端开发，熟练使用Spring Boot、Spring Cloud、MyBatis等主流框架，具备良好的系统设计能力； 3、熟悉大数据开发工具链，对数据开发平台有深入理解或实战经验； 4、具备大规模数据开发业务场景的实践经验，熟悉SQL及常见的数据处理流程（ETL、数据建模、数据治理等）； 5、了解并实践过LLM相关应用，如LangChain、LlamaIndex、OpenAI API、Hugging Face，对大模型的应用模式有较好理解； 6、具备一定的Python开发能力，能高效实现与大模型相关的业务逻辑。 加分项： 1、有实际大模型在数据开发领域的落地经验（如SQL生成、代码补全、任务调度优化等）； 2、参与过数据开发平台或 IDE（如DataWorks、Cloud Composer、Apache NiFi）等工具的研发； 3、熟悉主流LLM微调、部署相关技术，如LoRA、Prompt Engineering、Fine-tuning 等； 4、对数据工程、数据治理、数据资产管理等方向有较深入的理解。
工作职责
1、结合大模型（LLM）能力，探索并实现AI 赋能的数据开发新模式，如代码智能补全、智能调试、SQL生成优化等； 2、设计并优化高并发、高可用的后端架构，支持大规模数据开发用户的使用场景； 3、研究并落地业界大模型在数据开发领域的最佳实践，包括但不限于RAG（检索增强生成）、智能Agent、代码生成等； 4、负责相关API设计、模型调用接口开发及性能优化，确保LLM相关功能的高效集成； 5、参与团队的技术决策，推动架构优化，提升系统的稳定性、可扩展性和易维护性； 6、关注业界大数据开发工具和AI赋能技术的最新进展，推动相关技术在团队内的落地与实践。
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.
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.
Spring Boot+
https://spring.io/guides/gs/spring-boot
his guide provides a sampling of how Spring Boot helps you accelerate application development.
https://www.youtube.com/watch?v=Nv2DERaMx-4&list=PLzUMQwCOrQTksiYqoumAQxuhPNa3HqasL
The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.
Spring Cloud+
[英文] Spring Cloud Series
https://www.baeldung.com/spring-cloud-series
Learn Spring Cloud including concepts, additional libraries and examples for distributed systems.
MyBatis+
https://mybatis.org/mybatis-3/getting-started.html
https://www.baeldung.com/mybatis
MyBatis is an open source persistence framework which simplifies the implementation of database access in Java applications.
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.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL？简单地说，SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
ETL+
https://www.ibm.com/think/topics/etl
ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system.
https://www.youtube.com/watch?v=OW5OgsLpDCQ
It explains what ETL is and what it can do for you to improve your data analysis and productivity.
数据治理+
https://www.ibm.com/think/topics/data-governance
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data.
https://www.youtube.com/watch?v=uPsUjKLHLAg
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides.
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
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.
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.
Composer+
[英文] Introduction
https://getcomposer.org/doc/00-intro.md
Composer is a tool for dependency management in PHP.
https://learnxinyminutes.com/php-composer/
It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.
Apache+
https://www.apache.org/
The Apache® Software Foundation (ASF) provides software for the public good, guided by community over code.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
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