LangChain Developer
角色摘要 KDCI 外包公司正在寻找一个 LangChain 开发人员，以使用 LangCchain 框架构建 LLM 驱动的应用程序。你将设计链接，代理和检索管道，这些连锁系统能支持智能产品功能。关键责任 · 使用 LangCain （或 LangGraph）框架设计和构建应用程序 ·为 LLLM 驱动的工作流程开发链条，代理和工具集成 ·用矢量数据库构建取回增强生成 (RAG) 管道 ·测试并优化当前提示链进行精度和性能 ·与后端系统和 API 整合 LangChai 应用程序 ·保持最新的 LangC Hain 生态系统要求需求要求 · 2年以上软件开发经验，实践的 LangChain 经验 · 强大的 Python 技能 · LLM API （OpenAI,人类或开源模型）的经验 · 与向量数据库熟悉 （Pinecone,Weaviate,Chroma 等）· 了解快速工程和 RAG 架构的理解 • 有趣使用 LangGraph 或多代理管弦乐器的经验 · LlamaIndex 或类似框架的熟悉 · NLP 或对话式人工智能突出节点在 LANGChain,RAG,向量数据中心和人工智能代理工作流程中建立 LLM 驱动应用程序。最初发布于喜马拉雅山。
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Role Summary
KDCI Outsourcing is looking for a LangChain Developer to build LLM-powered applications using the LangChain framework. You'll design chains, agents, and retrieval pipelines that power intelligent product features.
Key Responsibilities
- Design and build applications using the LangChain (or LangGraph) framework
- Develop chains, agents, and tool integrations for LLM-powered workflows
- Build retrieval-augmented generation (RAG) pipelines with vector databases
- Test and optimize prompt chains for accuracy and performance
- Integrate LangChain applications with back-end systems and APIs
- Stay current with updates to the LangChain ecosystem
Requirements
Requirements
- 2+ years of experience in software development, with hands-on LangChain experience
- Strong Python skills
- Experience with LLM APIs (OpenAI, Anthropic, or open-source models)
- Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.)
- Understanding of prompt engineering and RAG architecture
Nice-to-Haves
- Experience with LangGraph or multi-agent orchestration
- Familiarity with LlamaIndex or similar frameworks
- Background in NLP or conversational AI
Highlights
Build LLM-powered apps using LangChain, RAG, vector databases, and AI agent workflows.
Originally posted on Himalayas