The Engineer, Principal, Technology is responsible for normally planning, conducting and supervising engineering design reviews and analysis assignments involving larger, more critical projects or multiple projects. These projects by nature of their complexity and difficulty require the
Career Area:Manufacturing Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do – but also about each other.
General Scope of Works Responsible for the full-cycle execution of HVAC / Building Services projects, including planning, design, procurement, installation, testing & commissioning, and handover. Provide technical support and coordinate all project activities to ensure delivery
About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati
The Engineer designs, reviews, and analyzes assignments normally involving a major project or several smaller or less complex projects. These projects, by nature of their complexity and difficulty, require the fully competent application of conventional knowledge in
Full Stack Engineer全栈工程师(Tripo Studio) Hangzhou, Beijing Experienced Full-time Responsibilities Your Responsibilities1.You will be granted full ownership and end-to-end accountability for the design and delivery of core product modules:Full-Stack Product DevelopmentBackend: Design and build high-concurrency, low-latency core services
The Junior Data Engineer supports the Finance departments day-to-day data operations within a 3PL business environment. The primary focus of this role is data processing and verification — including logistics billing reconciliation and customer pricing data preparation —
Overview This is a China Service Head role that will be responsible for achieving high level of customer satisfaction primarily in the field of Waters solutions. This role will cover field service team, implementation team, Tech
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares
Business Summary TIs Accounts Receivable team is the backbone of our capital management strategy. Were not just processing payments – were building strong partnerships with our customers and protecting the companys financial health. Working at the
General Scope of Works Responsible for the full-cycle execution of HVAC / Building Services projects, including planning, design, procurement, installation, testing & commissioning, and handover. Provide technical support and coordinate all project activities to ensure delivery
Job Overview 综述 Responsible for logistics related activities, including truck arrangement, warehouse management to ensure the on-time shipment between plants/warehouses and on time delivery to customers. This position needs to manage the performance of external suppliers
As a Senior Agent Infrastructure Network Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP SA team, responsible for driving DPU/SmartNIC-based North-South network architecture strategy, Agent-aware
Company Description Trainor Consulting is an international consulting firm specialized in heavy industry and energy projects, supporting clients across China and the APAC region. The company delivers high-value expertise in sectors such as oil & gas,
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。