云计算经验 Python "Experience - 3 to 4 years in AI, automation or a closely related field. Education - Degree from a top-tier university. Languages - Fluent English, for collaboration with the global team. - Fluent local language, for example Mandarin, to coordinate with local teams. Technical skills - Coding plus no-code and low-code tool stacks. - Strong Python and SQL, with high engineering standards and system design ability. - Mainstream web frameworks: FastAPI, Flask or Django. - Docker containerisation, Linux environments, and CI/CD pipelines. - Modern data tooling: PostgreSQL, ClickHouse, Airflow or Spark. - LLM development frameworks such as LangChain, LlamaIndex and agent architectures, with hands-on experience building vertical RAG systems on vector databases such as Milvus, Pinecone or Chroma. - The role spans two modes of work: rapid, front-line agile delivery to solve immediate pain points, and then distilling those bespoke scripts into reusable enterprise-grade microservices and platform components that feed back into the Greater China and global digital architecture. Work location - Remote or home-based. Headcount - At least 2 per target region initially, with scope to expand the team if we find exceptional people. 工作经验：3–4年人工智能、自动化或相关领域经验；教育背景：毕业于顶尖高校；语言能力：流利的英语（用于与全球团队协作）；流利的当地语言（例如中文），用于与本地团队协调；技术技能：具备编程能力，熟悉无代码及低代码工具栈；扎实的 Python 和 SQL 理论与实践基础，拥有高标准的工程设计及系统架构能力；主流 Web 框架：FastAPI、Flask 或 Django；Docker 容器化技术、Linux 环境及 CI/CD 流水线；现代数据工具：PostgreSQL、ClickHouse、Airflow 或 Spark；LLM 开发框架（如 LangChain、LlamaIndex 及智能体架构），并具备基于 Milvus、Pinecone 或 Chroma 等向量数据库构建垂直领域 RAG 系统的实战经验。该岗位涵盖两种工作模式：一是快速开展一线敏捷交付，解决紧迫的业务痛点；二是将这些定制化脚本提炼为可复用的企业级微服务及平台组件，并将其整合至大中华区及全球数字化架构中。工作地点：远程办公或居家办公；团队规模：目标地区初期至少招聘 2 名人员，若发现优秀人才，团队规模可进一步扩大。