AI-First Full-Stack Developer AI全栈开发工程师
工作編號: c872
TÜV Rheinland
永久, 全職
上海
截至目前
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。
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| 工作編號 | c872 |
|---|---|
| 合約類型 | 永久 |
| 雇用類型 | 全職 |
| 工作模式 | 未指定 |
| 公司名稱 | TÜV Rheinland |
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