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Ping An Insurance Group · 上海市

# Agent开发工程师

上海市 

Listed on Ping An Insurance Group’s official careers site. Posted June 11, 2026. Check that it is still open and apply there.
[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=A5DB202D412D4E70BB021F91BCA7C309)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ping An Insurance Group](https://jobs.opennash.com/companies/ping-an-insurance/) / Agent开发工程师

## Job description

岗位职责

### Agent开发
- 基于LangChain/LangGraph/AutoGen等框架，开发保险核保、理赔、客服等场景的智能Agent，设计多Agent协作架构。

### SDD实践
- 以Spec为契约驱动开发——先定义行为规范（输入输出Schema、状态转移、测试预期），再配合AI生成实现，确保代码与规范严格对齐。

### AI辅助编程
- 熟练使用Cursor/Copilot等AI IDE，将开发效率提升3~5倍，并对AI生成代码进行质量把关。

### Harness Engineering
- 构建Agent沙箱环境、工具调用治理、全链路可观测性、安全护栏（PII脱敏、人在回路），满足保险合规与审计要求。

### 业务集成
- 对接保险核心系统（核保/理赔/CRM），构建RAG知识库，建立Agent评估与迭代体系。 任职资格
- 本科及以上，3年后端/AI开发经验，1年以上Agent/大模型应用经验多语言

### 精通Python，且至少精通Go/Java/Rust/C++/TypeScript中的一门 能根据场景选型
- Python用于模型集成，Go/Java用于高并发运行时，TS用于前端交互
- AI编程，日常使用Cursor/ClaudeCode/Opencode等AI IDE进行开发
- 了解AI生成代码的边界与陷阱，能识别潜在bug和安全问题 SDD
- 理解Specification-Driven Development理念，能编写结构化规范 熟悉规范驱动工具链Agent与Harness
- 熟悉LangChain/LangGraph等Agent框架理解“Agent = Model + Harness”，有沙箱、工具治理、可观测性、护栏实践经验 熟悉RAG、向量数据库、提示工程

## At a glance
- Posted by the employer: Jun 11, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 131 days
- Location: 上海市[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=A5DB202D412D4E70BB021F91BCA7C309)

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