AI-First Full-Stack Developer AI全栈开发工程师
Job ID: c872
TÜV Rheinland
Permanent, Full Time
Shanghai
Immediately
Position Overview | 职位概述
We are looking for a highly self-motivated and curious AI-First Full-Stack Developer with end-to-end product development experience and a strong passion for AI-driven development. In this role, you will not only build robust and scalable systems, but also actively explore and apply AI-powered development workflows to improve the way products are designed, developed, and delivered.
我们正在寻找一位高度自驱、富有好奇心的AI优先全栈开发工程师，具备端到端产品开发经验，并对AI驱动开发充满热情。该岗位不仅需要构建稳定、可扩展的系统，还需要积极探索和实践AI赋能的开发工作流，以提升产品设计、开发和交付效率。
Key Responsibilities | 主要职责
- ■Take strong ownership in identifying opportunities, exploring new tools, and driving projects from idea to implementation.
主动识别机会、探索新工具，并推动项目从想法落地到实际实施。 - ■Stay up to date with AI tooling and engineering trends, and proactively introduce new ideas and best practices to the team.
持续关注AI工具和工程趋势，主动为团队引入新思路和最佳实践。
- ■Take full ownership of product development, including system architecture, backend services, frontend UI, and deployment.
全面负责产品开发，包括系统架构、后端服务、前端界面及部署。 - ■Independently build and launch complex features or products, or act as a technical lead when needed.
独立完成复杂功能或产品的开发与上线，或在需要时担任技术负责人。
- ■Use AI coding assistants such as Claude Code, Cursor, GitHub Copilot, v0, or similar tools in real projects.
在实际项目中使用Claude Code、Cursor、GitHub Copilot、v0等AI编程助手。 - ■Apply best practices in AI-assisted development, including prompt design for code generation, refactoring, and debugging.
应用AI辅助开发最佳实践，包括用于代码生成、重构和调试的提示词设计。 - ■Integrate AI tools into team workflows, code reviews, and CI/CD pipelines.
将AI工具融入团队工作流、代码评审和CI/CD流程。 - ■Leverage AI for technical design, prototyping, and documentation.
利用AI支持技术设计、原型开发和文档编写。 - ■Ensure code quality, security, and performance when working with AI-generated code.
在使用AI生成代码时，确保代码质量、安全性和性能。
- ■Develop and maintain high-performance, maintainable backend services using at least one backend language such as Python, Go, or Java.
使用Python、Go或Java等至少一种后端语言开发和维护高性能、可维护的后端服务。 - ■Design and implement cloud-native, microservices-based, and distributed systems.
设计并实现云原生、微服务架构及分布式系统。 - ■Optimize SQL and NoSQL databases for performance and scalability.
对SQL和NoSQL数据库进行性能和扩展性优化。
- ■Build responsive and interactive single-page applications using modern frontend frameworks such as React, Vue, and TypeScript.
使用React、Vue、TypeScript等现代前端框架构建响应式、交互式单页应用。 - ■Improve user experience, frontend performance, and development tooling.
持续优化用户体验、前端性能和开发工具链。
- ■Integrate LLMs such as OpenAI, Anthropic, or open-source models into real applications using frameworks like LangChain or LlamaIndex.
使用LangChain、LlamaIndex等框架，将OpenAI、Anthropic或开源大模型集成到实际应用中。 - ■Apply prompt engineering, AI agent patterns, RAG architecture, and vector databases in product development.
在产品开发中应用提示工程、AI Agent模式、RAG架构和向量数据库。 - ■Optionally contribute to model fine-tuning, evaluation, or orchestration of AI workflows.
可参与模型微调、评估或AI工作流编排相关工作。
Job Requirements | 任职要求
- ■Highly self-motivated, proactive, and intellectually curious.
具备高度自驱力、主动性和求知欲。 - ■Not just a task executor, but someone who constantly seeks better ways of working.
不仅是任务执行者，更能持续思考“如何做得更好”。
- ■Proven end-to-end product development experience, from architecture to deployment.
具备从架构设计到部署上线的端到端产品开发经验。 - ■Experience independently delivering complex features or products.
有独立交付复杂功能或产品的经验。
- ■Hands-on project experience with AI coding assistants such as Claude Code, Cursor, GitHub Copilot, v0, or similar tools.
具备使用Claude Code、Cursor、GitHub Copilot、v0等AI编程工具的实际项目经验。 - ■Familiar with prompt design, AI-assisted debugging, refactoring, and workflow integration.
熟悉提示词设计、AI辅助调试、代码重构及工作流集成。
- ■Proficient in at least one backend language (Python/Go/Java).
熟练掌握至少一种后端语言（Python/Go/Java）。 - ■Experience with cloud-native architecture, microservices, high concurrency, and distributed systems.
具备云原生架构、微服务、高并发和分布式系统经验。 - ■Strong knowledge of SQL and NoSQL databases with optimization experience.
熟悉SQL和NoSQL数据库，并具备实际优化经验。
- ■Skilled in React, Vue, TypeScript, or similar modern frontend technologies.
熟练掌握React、Vue、TypeScript等现代前端技术。 - ■Strong understanding of UX, frontend performance optimization, and tooling.
对用户体验、前端性能优化和工具链有深入理解。
- ■Hands-on experience integrating LLMs into real applications.
具备将大模型集成到实际应用中的经验。 - ■Familiar with prompt engineering, AI agents, RAG, and vector databases.
熟悉提示工程、AI Agent、RAG架构和向量数据库。 - ■Experience in model fine-tuning, evaluation, or AI workflow orchestration is a plus.
有模型微调、评估或AI工作流编排经验者优先。
- ■Personal projects, blogs, or open-source contributions related to AI/LLM applications.
有与AI/大模型应用相关的个人项目、博客或开源贡献。 - ■Product-minded and able to contribute to product discussions and prototyping.
具备产品思维，能够参与产品讨论和原型设计。 - ■Experience building AI-native applications such as agents, coding tools, or automation workflows from scratch.
有从零构建AI原生应用（如Agent、编程工具、自动化工作流等）的经验。
- ■Strong collaborative communication skills and willingness to share knowledge with teammates.
具备良好的协作沟通能力，愿意与团队分享经验和知识。 - ■Excited about the transformation AI brings to software development and willing to lead that change in practice.
认同AI正在重塑软件开发，并愿意在实践中推动这一变革。
We only accept applications submitted online through our application system. We cannot accept applications sent by email.
What else you should know
| Job ID | c872 |
|---|---|
| Type of contract | Permanent |
| Type of employment | Full Time |
| Company | TÜV Rheinland |
Application deadline: as long as the job is listed on our career page, we are looking for suitable candidates (all genders welcome). We are looking forward to receiving your application.
This might also interest you
Your application process
1. Online application
You can only apply online via our careers page. The application process is very simple and only takes a few minutes.
©TÜV Rheinland 2026