出海雷达

Cursor Developer / AI-Driven Development Specialist

AI开发工程全球可投(据职位描述推断)
公司Trafilea
薪资未公开
工作地点Worldwide
地域资格全球可投(据职位描述推断)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

关于 Trafilea Trafilea 是一个消费者技术平台,用于转型品牌增长。我们正在构建 AI 增长引擎,它将推动下一代消费品牌的发展。拥有累计收入超过10亿美元,1200万+客户和19个国家的500多人才,我们结合了技术,增长营销和运营卓越程度,以扩展目标驱动的数字原生品牌。我们拥有的并经营自己的数字原生产品牌 (而不是机构),在沃尔玛特,诺德斯特罗姆和亚马逊都有强大的全球 D2C 足迹。为什么 TrafleaCommerce 是科技领先的电子集团,扩大我们的全球受欢迎的 DTC 品牌,同时帮助雄心勃勃的人才同样快速成长。我们建立和扩展自己的品牌。我们像 eCom 中的少数人一样投资人工智能和自动化。我们测试快速,发展快速,帮助你做到同样的事情。成为一个充满活力,多元化和才华的全球团队的一部分。100%远程,美元竞争性工资,有薪休假等。工作责任:将 Cursor 从智能助理转变为真正的工程乘 multiplier 使用 AI 加速卓越而不是取代技巧的人。你会确保每个 AI 生成的代码符合建筑,性能和安全方面的专业标准。· 通过将 Cursor (或同等工具)集成到团队的代码库,CI/CD 和自动化测试管道中设计,构建和优化人工智能辅助开发工作流程。·创建并维护快速图书馆,模板,宏观程序和配方来标准化和扩展复发工程任务。· 对 AI 生成的代码进行审计,完善和验证质量,一致性,可维护性和安全性遵守。·培训和其他开发人员如何作为日常工作流程的一部分有效地利用 Cursor. ·作为产品,建筑和工程之间的桥梁,确保人工智能生成的输出与系统的整体设计原则保持一致。· 定义和监测代码质量,节省时间和重组件成功率等关键性能指标。· 在 LLM 和 AI 代码生成进步的边界保持一致,建议新的工具和自动化策略以不断提高标准水平。要求 · 全堆软件开发 (理想情况下使用 JavaScript/TypeScript,Python 或 Go). · 经验丰富的 Cursor 或类似人工智能编程工具 (Copilot,Cody,Codex 等)·强大的实践经验。(命令)· 快速工程和设计 AI 辅助工作流程。· 强有力的测试。

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About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.
With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Job Responsibilities
Your mission: transform Cursor from a smart assistant into a genuine engineering multiplier — someone who uses AI to accelerate excellence, not to replace craftsmanship. You’ll ensure every line of AI-generated code meets professional standards in architecture, performance, and security.

  • Design, build, and optimize AI-assisted development workflows by integrating Cursor (or equivalent tools) into the team’s codebase, CI/CD, and automated testing pipelines.
  • Create and maintain prompt libraries, templates, macros, and recipes to standardize and scale recurring engineering tasks.
  • Audit, refine, and validate AI-generated code for quality, coherence, maintainability, and security compliance.
  • Train and mentor other developers on how to leverage Cursor effectively as part of their daily workflow.
  • Act as a bridge between product, architecture, and engineering, ensuring that AI-generated output aligns with the system’s overall design principles.
  • Define and monitor key performance metrics such as code quality, time saved, and refactor success rate.
  • Stay at the frontier of LLM and AI code generation advancements, recommending new tools and automation strategies to continuously raise the bar.

Requirements

  • Strong background in full-stack software development (ideally with JavaScript/TypeScript, Python, or Go).
  • Proven mastery of Cursor or similar AI coding tools (Copilot, Cody, Codex, etc.). (MANDATORY)
  • Solid experience in prompt engineering and designing AI-assisted workflows.
  • Strong testing, refactoring, and code review abilities — capable of enforcing quality in AI-generated code.
  • Deep understanding of software architecture, design patterns, performance optimization, and security best practices.
  • Experience integrating with CI/CD systems, testing frameworks, and code linters.
  • Excellent debugging and root cause analysis skills, especially when generated code fails or diverges from expectations.
  • Ability to document, teach, and evangelize AI-driven development methodologies.

Originally posted on Himalayas

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