Key responsibilities The Cloud and Data Engineer will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&D units across Novo Nordisk, both on-premises and in
The Role Join AstraZeneca’s Oncology R&D in our Beijing R&D Center as a Molecular Simulations Specialist and help shape the future of drug discovery. At AstraZeneca, we are looking at the interface of cutting-edge AI tools
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
This position is part of the incoPat content department and works with other teams in the content department to create value for customers by defining and maintaining high-quality data content. Specific responsibilities include: About You – experience,
Job TitleAI Application Architect Job Description Job title: As an important member of the R&D team, the AI Application Architect will develop, integrate, test, and maintain the AI R&D QMS Harness platform used to support controlled
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
Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.
Responsibilities Participate in the development and deployment of Generative AI use cases to improve engineering productivity, knowledge management, and business workflow automation. Design and implement AI-powered solutions using Microsoft Copilot, Copilot Studio, Glean, Vero, Power Automate,
Role overview As a Senior Content Specialist, you will play a key role in the DBOR Transformation programme, shaping the future operating model, data workflows, and tooling capabilities used across Content Operations. You will work closely
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms
Location:Beijing, China Job ID: R0145402 Date Posted:2026-09-18 Company Name:HITACHI ENERGY (CHINA) LTD. Profession (Job Category):Engineering & Science Job Schedule: Full time Remote:No Job Description: The opportunity We are looking for candidates for the position of R&D
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: Qualcomm AI Research is looking for world-class algorithms engineers in general domain machine learning, especially generative AI, LLM, LVM, VLM and omni models.
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Systems Engineering General Summary: General Summary Qualcomm Robotics is building next‑generation robotic platforms powered by Snapdragon technology. As a Robotics Simulation Engineer, you will develop and maintain high‑fidelity
Introduction to the job Are you motivated by solving complex software and computer-related problems on advanced e-beam machines? Do you enjoy applying solid computer science fundamentals to diagnose real-world machine issues, improve system reliability, and support
Introduction to the job Are you motivated by solving complex software and computer-related problems on advanced e-beam machines? Do you enjoy applying solid computer science fundamentals to diagnose real-world machine issues, improve system reliability, and support
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。
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning