Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.
About Gate：
Founded in 2013, Gate is a leading global cryptocurrency exchange, serving 50M+ users with a full suite of digital asset trading and wealth management services.Ranked third globally in overall exchange ranking；
We are a remote-first, globally distributed team, building the future of Web3 through innovation, collaboration, and speed. At Gate, you’ll have the opportunity to work on cutting-edge , We welcome every team member who dares to innovate and actively shares their ideas, driving progress together., and grow alongside a fast-scaling global business.
Join us to help shape the future of crypto. 🚀
岗位职责
1、以大模型（LLM）作为核心组件，参与构建具备“思考、调用、执行”能力的后端业务系统，将产品需求与思维链转化为稳定、可扩展的 Agentic Workflow（智能体工作流）。
2、负责 AI Agent 的编排与工程化落地，包括模型调用、工具调用（Tool-calling）、多步推理、状态管理与异常处理，保障复杂业务流程的稳定执行。
3、参与模型接入、推理服务、RAG 与数据处理等核心模块建设，推动 AI 能力在真实业务场景中的规模化应用。
4、针对高并发、高可靠场景，对 AI 系统进行性能优化与工程治理，包括流式响应、异步调度、缓存策略与成本控制。
5、与产品、前端、算法及平台团队协作，持续优化 AI 系统的研发效率与交付质量，在复杂问题中独立推进模块级方案落地。
任职要求
1、5 年及以上后端或 AI 相关研发经验，具备扎实的工程基础与系统设计能力。
2、熟悉大模型应用开发范式，具备 Agent、RAG、工具调用或 AI Infra 的实际项目经验。
3、具备智能体编排经验，熟悉 LangChain、LangGraph、AutoGen 或类似框架，并能够处理模型输出不确定性、工具调用失败等复杂情况。
4、具备较强的后端性能优化能力，熟悉高并发场景下的流式处理、异步任务调度、多级缓存与资源成本控制。
5、熟悉至少一门主流后端语言（Go / Java / Python 等），代码质量与工程意识良好。
6、对 AI 技术具备高度热情，具备“AI 原住民”工程思维，能够在不确定性中快速迭代并推动结果落地。
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