State Street Investment Management is looking for a Software Developer (AI & Agentic Engineering) with 2+ years of experience to join the Engineering & Business Service Platform Team, a part of Technical and Business Architecture Solutions. This is
Who We Are Looking For State Street Investment Management is looking for a Senior Agentic Engineering Developer with Masters (7+) or Bachelors (10+) years’ experience for our Engineering & Business Service Platform Team, a part of Technical and
State Street’s Automation and Artificial Intelligence is a strategic global team. It is formed under direction of management committee of the company. It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural
Job Summary Are you passionate about innovation that transforms everyday products into extraordinary experiences? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, we deliver sustainable innovations that elevate everyday products.
Who we are looking for We are seeking a skilled full stack Software Engineer with deep hands-on engineering expertise and proven leadership experience building production-grade systems. The ideal candidate combines strong software engineering fundamentals, and can drive teams
Design, build, and support trusted analytical data products for Core Reference Data, Security Master, IBOR Holdings & Transactions, DataHub, and Stamford Data Warehouse migrationsand may other data initiatives. Develop end-to-end batch/stream pipelines, logical and physical data
液化空气工程与制造中国作为液化空气工程与制造事业部的一员，伴随液化空气（杭州）有限公司于1995年成立，标志着集团的工程与制造业务正式进入中国。液化空气工程与制造中国将本地资源与集团的尖端技术有效结合，为各行各业的客户提供低排放、低能耗和高性价比的生产装置，从而助力中国企业实现转型和升级。同时，公司也致力于为员工、社区和中国社会创造长期价值。 The Digital & IT - Product Manager - AVEVA ERM & Construction bridges business ambition and engineering reality to deliver products that are usable, viable, and valuable. Accountable for the end-to-end lifecycle—from backlog to performance tracking—this
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。