Trip.com Group
后端开发专家
Senior backend/architecture role at Trip.com Group in Shanghai, building and scaling LLM applications: designing AI agents, RAG, tool calling, and workflow orchestration, integrating them with internal systems (knowledge bases, tickets, orders, CRM), and owning quality, reliability, and monitoring for AI features in complex business scenarios.
- Compensation
- Not disclosed
- Location
- Shanghai
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Backend
- Posted
Must have
- Bachelor's degree or above in Computer Science, AI, Software Engineering, or related major
- 8+ years of R&D or technical architecture experience with design and delivery of complex business systems
- Hands-on experience landing LLM applications, AI Agents, RAG, enterprise Copilot, or intelligent assistant projects
- Familiar with LLM application engineering: Prompt, Function Calling / Tool Calling, Embedding, Reranker, Workflow, Agent Orchestration
- Solid backend engineering skills and experience integrating complex business systems (knowledge base, tickets, orders, CRM, messaging, approvals, data platform)
- Strong system design and delivery ability; independently own key projects and turn complex business problems into configurable, evaluable, iterable AI product capabilities
- Practical experience with LLM reliability: handling hallucination, knowledge conflicts, unauthorized answers, context management; evaluation, root-cause analysis, and continuous optimization
- Strong cross-team communication and business understanding; drive technical consensus, coordinate dependencies, and participate in tech reviews and knowledge sharing
Full description
职位描述
岗位职责
- 负责大模型应用方向的技术架构设计、核心能力建设与工程落地，推动 AI 能力在复杂业务场景中的规模化应用。
- 设计并建设 AI Agent、RAG、工具调用、流程编排、上下文管理、结果校验等核心能力。
- 将业务流程、知识体系和内部系统能力转化为可被 AI 调用的工具、技能和工作流，提升能力复用与业务接入效率。
- 与产品、业务、算法、数据、工程团队协作，主导关键技术方案设计与实现，推动从需求分析、工程交付到效果评估的完整闭环。
- 建立 AI 应用的质量保障体系，覆盖准确性、可解释性、稳定性、安全边界、人工接管和线上监控，持续优化应用效果、响应效率与运行成本。
- 跟踪大模型应用、Agent、企业 Copilot、智能客服、智能运营等方向的前沿实践，结合业务需求推进技术演进与应用落地。
任职资格
任职要求
- 计算机、人工智能、软件工程等相关专业本科及以上学历。
- 8 年以上研发或技术架构经验，具备复杂业务系统设计与交付能力，有大模型应用、AI Agent、RAG、企业 Copilot、智能助手等相关项目的实际落地经验。
- 熟悉大模型应用工程体系，包括 Prompt、Function Calling / Tool Calling、Embedding、Reranker、Workflow、Agent Orchestration 等，能够结合业务场景进行技术选型与方案设计。
- 具备扎实的后端工程能力和复杂业务系统集成经验，能够打通知识库、工单、订单、CRM、消息、审批、数据平台等系统。
- 具备较强的系统设计和工程落地能力，能够独立负责关键项目，将复杂业务问题抽象为可配置、可评估、可迭代的 AI 产品能力，并推动相关技术方案落地。
- 对大模型可靠性有实践经验，能够处理幻觉、知识冲突、越权回答、上下文管理等问题，具备效果评估、问题归因和持续优化能力。
- 具备良好的跨团队沟通能力和业务理解能力，能够推动技术共识、协调项目依赖，并参与技术评审与经验沉淀。