毕业时间要求：2026年10月 - 2027年9月之间毕业的应届毕业生 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。 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
Job TitleSenior AI Application Architect Job Description Job title: As an important member of the R&D team, the Senior AI Application Architect will lead the architecture, governance, and technical strategy of a controlled AI Harness platform
Senior Technical Specialist We are looking for a hardworking, intellectually curious individual to play the role of Senior Technical Specialist to design and implement innovative tech solutions for complex business problems. Role Summary: Key Accountabilities: Lead
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
AI全栈工程师 北京、南京、苏州 全职 互联网 / 电子 / 网游 职位描述 岗位简介我们正在构建新一代 AI Coding 平台，帮助开发者用自然语言驱动代码生成、调试、部署。你将与产品、算法、设计团队协作，设计并实现核心功能，包括 Web IDE、AI 代码生成引擎、实时协作、项目管理等模块。这是一个既要写代码，也要做 AI 工具的岗位，你将用自己的工程能力，让 AI 真正变成开发者的超级助手。主要职责- 参与 AI 编程平台的前后端架构设计与核心模块开发。- 集成大语言模型（OpenAI、Claude、Gemini 等）及私有化模型 API，支持 Prompt 工程与上下文管理。- 设计并实现在线代码编辑器、实时预览、调试器等 Web IDE 功能。- 构建高性能 API 服务，支持流式响应（SSE /
We are looking for an experienced system engineer, who will play a dual role on the NVIDIA Enterprise Experience (NVEX) team. An awesome candidate is highly technical who can triage customer software issues and resolve customer
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.
SummaryAt Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and theres no telling what you could accomplish. Do you love solving
Please complete the attached Internal TransferRequest Formand submit. Please make sure to apply with your Coupang e-mail address. Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear
Company Description Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yield of crops. High-quality seeds ensure
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
Backend Engineer 高级后端工程师/架构师（核心团队·3DGenAI方向） Beijing, Hangzhou Experienced Full-time Responsibilities What We Are BuildingTripoAI is a fast-growing startup focused on 3D foundation models. Our mission is to lower the barriers to 3D content creation, enabling users worldwide to
SRE工程师 Beijing Experienced Outsourced Responsibilities Vast 是一家专注于 3D AI 的独角兽公司，致力于构建能够理解和生成 3D 世界的基础模型。公司获得 NVIDIA、Lux Capital 等顶级机构投资，产品覆盖 3D 内容生成、机器人仿真训练、空间计算等前沿领域。SRE 团队是支撑这一切稳定运转的基础——你将直接参与构建服务于大规模 3D AI 模型训练与推理的基础设施体系。职位要求1、设计并维护 AWS / 阿里云的多账号体系（Organization / Landing Zone），规划账号结构与边界，制定并落地 IAM 权限策略，推行最小权限原则，管理角色、策略与 SCP2、建立云资源全生命周期管理规范，包括 Tagging 标准、资源审计与清理流程，推动 FinOps 实践：成本归因、预算告警、RI / SP 购买策略、Spot
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。