阿里巴巴阿里国际站-AI+工程师-交易履约(深圳)
社招全职2年以上技术类-开发地点：深圳状态：招聘
任职要求
1. 本科及以上学历，计算机/数学/统计相关专业，3年以上服务端开发经验 ，有大模型落地调优经验。 2. 精通 Java/C++/Python（至少一种） 及主流框架（Spring Boot/Gin/Django）；熟练掌握 MySQL/PostgreSQL 数据库设计与优化，精通 Redis 缓存策略；有高并发系统开发经验，熟悉分布式事务、限流熔断、负载均衡机制。 3. 熟悉AI 工程化流程，有 Prompt 工程、RAG 应用或大模型微调经验，具备 Python 数据处理能力；掌握模型部署与监控技术栈，如：Prometheus+Grafana/Evidently。 4. 熟悉容器化与云原生，掌握CI/CD流程与自动化测试框架。 5. 优秀的问题分析与解决能力，较强的工程问题抽象能力，对技术难点有攻关热情，能将业务需求转化为可落地方案。 6. 良好的沟通协作能力，持续学习，主动关注技术动态并自我更新，推动团队进步。 7. 加分项：熟悉模型压缩技术（Quantization/Pruning）或推理加速框架（TensorRT/OpenVINO）、掌握大数据处理工具（Spark/Flink）、了解强化学习（RL）或多目标优化模型、有完整支持大模型从开发到上线的全链路项目经历的优先。
工作职责
1. 设计并开发高可用、高并发的分布式服务；构建微服务架构（如Spring Cloud/Dubbo），优化API性能与稳定性；负责数据库（MySQL/PostgreSQL）、缓存（Redis）、消息队列（Kafka/RabbitMQ）的技术选型与性能调优。 2. 将大模型部署到生产环境，设计实时/离线推理服务架构（如模型压缩加速、分布式训练框架集成）；监控模型线上表现（如准确率、延迟、吞吐量）；主导模型的迭代调优（参数调优、后训练、评测）；监控模型效果，定位预测偏差、数据漂移等问题。 3. 理解大模型原理并制定工程化方案，与产品、UI/UX、测试及运维团队紧密协作，确保项目高质量交付。
包括英文材料
学历+
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
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
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.
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.
Gin+
https://gin-gonic.com/en/docs/quickstart/
This guide walks you through installing Gin, setting up a project, and running your first API—so you can start building web services with confidence.
https://go.dev/doc/tutorial/web-service-gin
This tutorial introduces the basics of writing a RESTful web service API with Go and the Gin Web Framework (Gin).
Django+
https://www.youtube.com/watch?v=nGIg40xs9e4
Learn how to build a simple Django application in as fast as 20 minutes!
https://www.youtube.com/watch?v=rHux0gMZ3Eg
Learn Django and start building amazing back-ends!
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线，包括数据库相关知识，SQL语句的使用，数据库约束，设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
PostgreSQL+
[英文] PostgreSQL Tutorial
https://neon.com/postgresql/tutorial
This PostgreSQL tutorial helps you quickly understand PostgreSQL.
[英文] PostgreSQL Tutorial
https://www.pgtutorial.com/
This PostgreSQL tutorial will teach you about PostgreSQL from beginner to advanced.
https://www.youtube.com/watch?v=qw--VYLpxG4
It is the most advanced open source database system widely used to build back-end systems.
https://www.youtube.com/watch?v=SpfIwlAYaKk
Learn PostgreSQL, one of the world's most advanced and robust open-source relational database systems.
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
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!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
Prometheus+
https://grafana.com/docs/grafana/latest/getting-started/get-started-grafana-prometheus/
Prometheus is an open source monitoring system for which Grafana provides out-of-the-box support.
https://prometheus.io/docs/tutorials/getting_started/
Prometheus is a system monitoring and alerting system.
Grafana+
CI+
https://www.ibm.com/cn-zh/think/topics/continuous-integration
持续集成 (CI) 是一种软件开发实践，开发人员在整个开发周期中会定期将新的代码和代码变更集成到中央代码存储库中。它是 DevOps 和敏捷方法的关键组成部分。
https://www.youtube.com/watch?v=42UP1fxi2SY
CD+
https://www.redhat.com/zh-cn/topics/devops/what-is-ci-cd
CI/CD 是持续集成和持续交付/部署的缩写，旨在简化并加快软件开发生命周期。
https://www.youtube.com/watch?v=R8_veQiYBjI&list=PLy7NrYWoggjzSIlwxeBbcgfAdYoxCIrM2
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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