RESPONSIBILITIES 1. Lead product planning and design for the companys white-label app store platform, enabling clients to rapidly build and operate their own branded app marketplaces on a shared platform infrastructure — covering core modules including
Overview As one of the world’s leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development. Our systems and instruments are designed to improve product safety, speed
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more
We are looking an ambitious Account Manager in China, are you the one? Are you interested in joining a platform aims to enhance the way scientists and professionals at work? About Our Company Elsevier is a
We are looking an ambitious Account Manager in China, are you the one? Are you interested in joining a platform aims to enhance the way scientists and professionals at work? About Our Company Elsevier is a
About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first,
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
Join our Team About this opportunity: Ericsson China Access Network R&D Center is looking for Filter Design Engineers to contribute to the development of radio base station (RBS) products. In this role you will focus on RF
Are you fascinated by the chance to make a real impact on millions of Ubuntu users? We are looking for a passionate Linux kernel engineer to join our team and help us bring Ubuntu to the
Software has moved to play a central role in network technology. From outstanding routing implementations like Bird and FRR to overlay networking technology such as OVN/OVS and Cilium, from kernel with SwitchDev to userspace with DPDK,
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science,
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
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
Location: Fully Remote Type: Internship (Unpaid / High Learning & Portfolio Impact) Duration: 3 – 6 Months Pathways: Direct consideration for Full-Time & Paid Roles upon successful completion About Wing Wing is on a mission to
JOB DESCRIPTION: Primary Function/Primary Goals/Objectives: Combine knowledge of scientific, regulatory and business issues to enable Abbott Nutrition products/business activities to meet required legislation across food and drug. Develop and supervise regulatory professionals. Have department level influence
Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and
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。