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
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 with Go/Python/Node.js, covering task
Frontend / Full-Stack Developer, AI 3D Creator Ecosystem Community前端 / 全栈开发・AI 3D 创作者生态社区 Beijing Experienced Full-time Responsibilities Job Responsibilities1.Develop the Omni-channel Frontend Technology System for the 3D Creator CommunityTake charge of the construction, iteration and performance optimization of
Senior Backend Engineer / Full-Stack Engineer (Creator Ecosystem Community Focus)高级后端工程师 /全栈工程师（创作者生态社区方向） Beijing Experienced Full-time Responsibilities Job Responsibilities1.Build an Omni-channel Growth Technology System for the 3D Creator EcosystemLead the construction, iteration and optimization of the core backend architecture for
Minimum qualifications: Bachelors degree or equivalent practical experience. 6 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration. Experience with search systems including retrieval, ranking, and search quality tuning.
Minimum qualifications: Bachelors degree or equivalent practical experience. 10 years of experience in the enterprise software or cloud space. Experience with one or more database technologies such as MySQL, Redis, MongoDB, PostgreSQL, Oracle, SQL Server, and graph
Minimum qualifications: Bachelors degree or equivalent practical experience. 6 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration. Experience with search systems including retrieval, ranking, and search quality tuning.
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more
NVIDIA is seeking a Senior Software Engineer to drive engineering solutions for our digital marketing ecosystem in China. This role involves coordinating full-stack development, connected systems, data pipelines, and AI-driven automation while ensuring the platforms long-term excellence.
NVIDIA are seeking Solution Architects with specialized expertise in training and deploying Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and deliver
Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and communicates. As employees,
Senior Backend Engineer / Growth Architect (Growth-focused)高级后端工程师 / 增长架构师（增长方向） Beijing Experienced Full-time Responsibilities Job OverviewIf you are fed up with repetitive business CRUD development and reactive requirement-driven R&D mode, and hope to drive user growth directly through
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 generate
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。