锦鲤求职岗位描述
As an AI Agent Architect/Developer, you'll own the end-to-end architecture and technical delivery of an enterprise AI Agent / AI-native engineering platform. You'll drive the deep integration of large language models (LLMs), AI agents, and knowledge capabilities into the software development lifecycle—covering requirements analysis, solution generation, code collaboration, automated testing, and environment orchestration—so teams can deliver intelligently, securely, and at scale. You'll turn model capability into reusable, extensible, and governable platform services, and continuously evolve the AI-native architecture through real-world implementation. Platform architecture & core capability design Establish AI agent runtime and governance frameworks, including: Context and session management Memory design Execution loops and exception handling Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks). Familiarity with mainstream AI coding and developer tools (examples: Claude Code, Codex, Cursor, Copilot or equvlenece). Knowledge & Retrieval Engineering (Strong Plus) RAG (Retrieval-Augmented Generation) GraphRAG Runtime governance & operational framework Education: Bachelor's degree or above (preferred majors: Computer Science, Software Engineering, AI, or related fields). Experience: Ability to drive cross-team execution and deliver outcomes in production environments.