AI Agent Engineer / Backend Engineer
AI Agent 工程师 / 后端工程师

Open to full-time roles in AI Agent, Backend, Platform, and LLM Application Engineering
正在寻找 AI Agent、后端、平台工程、LLM 应用工程方向的全职机会

• Backend-oriented engineer working on production-grade AI agent systems, LLM applications, and data-intensive backend systems
  偏后端方向，关注可落地的 AI Agent 系统、LLM 应用工程和数据密集型后端系统
• Strong interests in agent workflows, RAG, financial data, DeFi analytics, and maintainable service architecture
  关注 Agent 工作流、RAG、金融数据、DeFi 分析与可维护的服务架构
• Comfortable working across backend, AI engineering, data workflows, and product-facing interfaces
  能在后端、AI 工程、数据工作流和产品交互界面之间协作推进
• Looking for full-time roles in China-facing or global teams
  正在寻找面向国内或全球团队的全职机会

I am most interested in teams building real products around AI agents, LLM infrastructure, developer tools, backend platforms, financial technology, or data systems.
我希望加入正在构建真实产品的团队，方向包括 AI Agent、LLM 基础设施、开发者工具、后端平台、金融科技或数据系统。

Roles I am open to / 我正在关注的岗位：

• AI Agent Engineer / AI Agent 工程师
• Backend Engineer / 后端工程师
• Platform Engineer / 平台工程师
• LLM Application Engineer / LLM 应用工程师
• Full-stack Engineer with strong backend ownership / 偏后端主导的全栈工程师

Multi-agent trading research framework for financial analysis workflows.
面向金融分析工作流的多智能体交易研究框架。

• Built agent-oriented research workflows for financial analysis
  构建面向金融分析的 Agent 研究工作流
• Explored coordination between LLM agents, tools, reasoning, and decision-support pipelines
  探索 LLM Agent、工具调用、推理流程与决策支持管道之间的协同
• Relevant to: AI agents, multi-agent systems, financial AI, workflow orchestration
  相关方向：AI Agent、多智能体系统、金融 AI、工作流编排

Financial AI research workbench with SEC filings, RAG, agent workflows, and a full-stack analytics UI.
金融 AI 研究工作台，覆盖 SEC 文件、RAG、Agent 工作流与全栈分析界面。

• Built around financial research, document understanding, and agent-assisted analysis
  围绕金融研究、文档理解与 Agent 辅助分析进行构建
• Combined backend services, retrieval workflows, and interactive product surfaces
  结合后端服务、检索工作流与交互式产品界面
• Relevant to: RAG, LLM applications, backend systems, full-stack analytics
  相关方向：RAG、LLM 应用、后端系统、全栈分析

Open-source adapters for DeFi protocol metrics including fees, revenue, users, and on-chain analytics.
面向 DeFi 协议指标的开源适配器，覆盖费用、收入、用户与链上分析数据。

• Contributed data adapters for protocol-level analytics
  贡献用于协议级分析的数据适配器
• Worked with on-chain data normalization and metric-oriented engineering
  处理链上数据标准化与指标工程
• Relevant to: data engineering, DeFi analytics, open-source collaboration, backend data workflows
  相关方向：数据工程、DeFi 分析、开源协作、后端数据工作流

• AI Engineering: LLM applications, RAG, tool calling, agents, evaluation workflows
  AI 工程：LLM 应用、RAG、工具调用、Agent、评估工作流
• Backend: API design, service architecture, data pipelines, task orchestration, reliability
  后端：API 设计、服务架构、数据管道、任务编排、可靠性
• Languages: Python, Java, TypeScript
  编程语言：Python、Java、TypeScript

• Email / 邮箱: yu83612457@gmail.com