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Open nowPosted 204 days ago

AI 应用架构工程师 (Python+LangChain 向)

lvbsk03ee00/index16 open roles

Where
Wuxi, Jiangsu, Chinese Mainland
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Your applicationOpen nowAI 应用架构工程师 (Python+LangChain 向)lvbsk03ee00/index · Wuxi, Jiangsu, Chinese Mainland

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 204 days ago

The posting

AI 应用架构工程师 (Python+LangChain 向) T4 职责： 1、核心框架搭建：基于 Python+LangChain 技术栈，主导企业级 RAG 系统、AI Agent 智能体的架构设计与落地，覆盖「文档解析‑知识库构建‑检索增强‑智能体编排‑大模型交互」全流程，解决业务场景中 “知识精准问答、复杂任务自动化” 核心问题。 2、技术攻坚与优化：负责 LangChain 复杂 Chain 调试、Agent 任务规划 / 记忆 / 工具调用模块的定制开发，优化 Prompt Engineering 和 LLM 行为控制策略，提升 RAG 检索准确率、Agent 任务完成率及系统稳定性。 3、工程化落地：将 RAG/Agent 方案与业务系统（如能源预测平台、企业知识库、智能客服）集成，完成多线程 / 异步编程优化、接口设计、性能调优，保障系统高可用、低延迟。 4、技术沉淀与协作：梳理 LangChain/Agent/RAG 技术最佳实践，输出技术文档和开发规范；与算法、产品团队协作，将业务需求转化为可落地的 AI 应用架构方案。 5、前沿技术适配：跟踪 LangChain 生态、RAGFlow/Dify 等工具最新特性，探索 Multi‑Agent、工具调用、多模态 RAG 等技术在业务场景落地，推动 AI 应用迭代升级。

要求： 1、Python 根基深厚，精通多线程 / 多进程、异步编程（Asyncio）和网络编程。代码需具备工程化水准，结构清晰，可维护性强。 2、LangChain 根基深厚，能独立构建智能体（Agent）、调试复杂的 Chain、优化 Prompt Engineering；熟悉 AI Agent 构建方法论，并可根据具体业务场景采用合适方法；熟悉 LLM 行为控制方法，熟悉 RAG 构建。 3、熟悉主流大模型生态及本地部署方案，能完成大模型调用、微调适配及推理优化。 4、具备 RAG 系统全流程落地经验，熟悉向量数据库（Milvus、Chroma、Pinecone）、文档解析、向量化、检索重排等核心环节。 5、具备良好的问题分析与解决能力，能独立排查 LangChain/Agent/RAG 系统中的检索失效、Agent 逻辑异常、大模型幻觉等核心问题。 加分项： 有能源 / 电力 / 储能行业 AI 应用落地经验，或熟悉时序预测、运筹优化等算法与 AI 应用结合场景。 熟悉 RAGFlow/Dify 等工具与 LangChain 的集成方案，有实际项目落地案例。 具备 Docker/K8s 部署经验，能完成 AI 应用的容器化、分布式部署。

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