Mission 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
Back-end Software Engineer WirelessCars Journey WirelessCar empowers the future of mobility by connecting vehicles and delivering cutting-edge digital services. Founded in 1999 and headquartered in Sweden, we have a strong global presence with offices in the U.S.,
Be part of something altogether life-changing! Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative
CRA II - Beijing Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our
Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:Advanced Design Center China Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:31.07.2026 Veröffentlichungsdatum:07.07.2026 Stellennummer:MER00045AN Arbeitszeit:Vollzeit Bewerben Aufgaben China is Mercedes-Benz’s largest passenger car market globally. At Mercedes-Benz R&D China,
Whats the role? We are looking for a motivated and experienced Technology Lead to join the HERE Professional Services - Global Solution Engineering team. This role involves leading the technical delivery of customer-facing software solutions across industries
Location:Beijing, China Job ID: R0136923 Date Posted:2026-07-09 Company Name:HITACHI ENERGY HIGH VOLTAGE SWITCHGEAR CO., LTD., BEIJING Profession (Job Category):Project/Program Management Job Schedule: Full time Remote:No Job Description: The opportunity Hitachi Energy is renowned worldwide as a
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need
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
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing! An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand
We help the world run better At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80% of global
Are you passionate about delivering exceptional HR operational support and creating a positive employee experience throughout the employment lifecycle? Do you enjoy working with data, processes, and people to ensure accurate HR services while contributing insights that
Are you passionate about delivering exceptional HR operational support and creating a positive employee experience throughout the employment lifecycle? Do you enjoy working with data, processes, and people to ensure accurate HR services while contributing insights that
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。