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Other Application Setup 招聘 在 Shenzhen - 7 Job Positions Available

1 – 7 的 7 招聘
Overview AI 招聘

About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines,

Overview AI  24天前发布
Amazon.com 招聘

Amazon is looking for a smart and ambitious Seller Consultant to join its China team. The objective of the Sales consultant is to deliver new business growth and maximize revenue generation across Amazons suite of products

Amazon.com  18天前发布
JLL 招聘

JLL empowers you to shape a brighter way. Our people at JLL and are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We

JLL  12天前发布
Dyson 招聘

1.Overview At Dyson we are encouraged to think differently, challenge convention and be unafraid to make mistakes. We’re creative, collaborative, practical and enthusiastic. But most of all we’re hugely passionate about what we do. Dyson offers

Dyson  9天前发布
Dyson 招聘

The Role: Youll be an experienced real-time embedded system engineer with excellent knowledge in software build/test/release process for continuous integration and continuous deployment (CI/CD). Working in an agile cross-functional team, you will be a key member

Dyson  3天前发布
Intel 招聘

Job Details: Job Description: Join Intels Technical Enablement Group (under Sales Marketing Group), Client ADC team as an AI Software Engineer. In this role, you will focus on the development and enablement of Agentic AI systems

Intel  2天前发布
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Pixlr Group 招聘

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。

Pixlr Group  22天前发布

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