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Open nowPosted 59 days ago

校招-AI平台研发工程师

nio/campus870 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-AI平台研发工程师nio/campus · Shanghai, Chinese Mainland
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  6. 44.6%60 days
This job: posted 59 days ago

The posting

你会做什么 你将参与 Skyworks AI 平台的核心研发工作,和团队一起构建企业级 Agent 平台、知识平台、数据语义层和能力市场。 你可能参与的项目包括: 开发 Agent 编排与执行引擎 支持 Agent 的任务拆解、工具调用、知识检索、多步骤执行、结果聚合和运行日志记录。 开发 Agent 搭建平台后端能力 为前端配置界面提供 API,支持用户创建 Agent、选择知识源、绑定工具、配置执行流程。 开发知识与语义层能力 参与 Ontology 建模、知识图谱查询、数据表语义映射等能力建设,让 Agent 能够理解企业业务对象和数据关系。 开发跨数据源查询能力 支持 Agent 查询结构化数据、知识图谱、向量库和文档知识,实现多源信息融合。 建设企业能力市场 参与 SkillHub / AgentsMarket 开发,让企业内部工具、API、Agent 能力可以被发布、搜索、复用和治理。 参与平台工程化建设 包括权限、日志、监控、任务调度、运行追踪、可观测性等企业级平台能力。 你会接触的技术 后端开发:Python / Java / Go Web 框架:FastAPI / Django / Spring Boot 数据库:PostgreSQL / MySQL / Redis 图数据库:Neo4j / JanusGraph 向量数据库:Milvus / Qdrant / Weaviate Agent 框架:LangChain / LangGraph / LlamaIndex 消息队列:Kafka / RabbitMQ 容器化:Docker / Kubernetes 可观测性:Prometheus / Grafana / Langfuse 不要求你全部掌握,但希望你有扎实的编程基础和快速学习能力。

我们希望你具备 2027 届本科及以上学历,计算机、软件工程、人工智能等相关专业 熟练掌握 Python、Java、Go 中至少一种语言 熟悉基本数据结构、算法和代码规范 了解 RESTful API、数据库、缓存、后端服务开发 对大模型、Agent、RAG、知识图谱等方向有兴趣

加分项 使用过 LangChain、LangGraph、LlamaIndex、Dify、Coze 等 Agent/RAG 框架 有 FastAPI、Spring Boot、Go 后端项目经验 使用过 Neo4j、Milvus、Qdrant、Elasticsearch 等技术 熟悉 Docker、Kubernetes、Kafka、Redis 等基础设施 有 GitHub 开源项目、技术博客、竞赛经历或完整个人项目

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