Senior Staff/Staff Machine Learning Engineer-LLM Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support.
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of
Forward Deployed AI Engineer 北京 全职 研发 - 高级技术职位 职位描述 About the RoleWe’re seeking engineers who enjoy working directly with customers to build real solutions using LLMs. In this role, youll integrate into client environments to understand their
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: Be responsible for one or more LSEG Software Systems design, development and support. Work with Project Managers and/or Product Manager to ensure the delivery of high quality software on time. Working with Product team and
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.
The Opportunity The Site Reliability Engineer II builds and maintains infrastructure that enables SoundHound AI to deliver technology globally. The SRE team provides global infrastructure to reach millions of users, with automation at the core of all
Tätigkeitsbereich:Produktion Fachabteilung:Strategic & NTP Planning China & MO/EC Hub Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:01.09.2026 Veröffentlichungsdatum:03.07.2026 Stellennummer:MER00044IH Arbeitszeit:Vollzeit Bewerben Aufgaben Objective of Job: Design, build, and maintain robust, scalable data architectures that
About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of
About AstraZeneca At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift
Are you excited to design and operate large‑scale data platforms that power global research and innovation? Do you enjoy collaborating across teams to build reliable, compliant, cloud‑based data solutions? About our Team Elsevier is a global
The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver
Are you excited to design and operate large‑scale data platforms that power global research and innovation? Do you enjoy collaborating across teams to build reliable, compliant, cloud‑based data solutions? About our Team Elsevier is a global
Product Marketing Manager( Data and Agentic AI) Amazon Web Services , a subsidiary of Amazon.com, is seeking a talented Product Marketing Manager for driving data-driven products in the cloud computing adaption journey with Internet companies, Enterprise,
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。