State Street is seeking a highly motivated AWS Federated Cloud Platform Engineer. This role is responsible for the design, development, enhancement, and operational support of the enterprise AWS Federated Landing Zone platform especailly on AWS compute
Job title职位名称: M&S Graduate Program-Operation (Production) Trainee Location工作地点： 杭州 About the job工作职责 About Sanofi We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system
Data Engineer大数据工程师 Hangzhou Experienced Full-time Responsibilities Responsibilities1.Scale Lakehouse & Data PipelinesIterate on the Iceberg lakehouse architecture; build and maintain multi-source batch and streaming pipelines to guarantee stability, data consistency and timeliness.2.Data Modeling & Metric SystemBuild layered
Social Media Operation Specialist 新媒体运营 Hangzhou Experienced Full-time Responsibilities 1. Brand Voice Enhancement: Improve weak brand tonality and low recognition across domestic and overseas platforms including Instagram, Facebook, YouTube, X, TikTok, Pinterest, Douyin, Bilibili and WeChat
Who we are looking for We are seeking a skilled full stack Software Engineer with deep hands-on engineering expertise and proven leadership experience building production-grade systems. The ideal candidate combines strong software engineering fundamentals, and can
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run
我们正在寻找一位 全栈工程师，参与核心 AI Agent 产品从架构设计、能力建设到生产落地的完整过程。你将参与 Web 产品、API 服务、Agent 编排系统、后台任务系统、数据层和部署流程等多个环节，和团队一起构建面向真实生产环境的 AI Agent 产品。 你将深度参与 AI Agent 系统的工程化建设，包括 Agent Loop、工具调用、任务编排、多步骤执行、上下文管理、模型路由、异步任务处理、结果持久化、错误恢复、日志追踪与系统可观测性等关键模块。这个岗位不是简单调用大模型 API，而是需要将 LLM 能力、业务流程、前后端系统和用户体验结合起来，构建可稳定运行、可持续扩展的生产级 Agent 产品。 在这个角色中，你需要理解 Agent 如何接收用户目标、拆解任务、选择工具、执行动作、处理中间状态、根据反馈继续推理，并最终产出可靠结果。你也需要关注 Agent 执行过程中的实际工程问题，例如任务超时、工具失败、重试策略、状态一致性、成本控制、并发执行、队列调度、数据追踪以及生成结果的可复现性。 你会和产品、设计、前端、后端和基础设施团队紧密协作，把 AI 能力落到真实的产品体验中。我们希望你既能理解前端产品形态和用户交互，也能深入后端服务、数据模型、任务队列和 Agent 编排系统，帮助团队搭建长期可维护、可扩展、可观测的 AI Agent 工程体系。