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