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Ping An Insurance Group · 成都市

# 算法高级工程师

成都市 

Listed on Ping An Insurance Group’s official careers site. Posted September 20, 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=9E9DC149F1E5422788D7BC9E8D70BA73)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ping An Insurance Group](https://jobs.opennash.com/companies/ping-an-insurance/) / 算法高级工程师

## Job description

岗位职责

### 智能产品与业务落地
- 负责客服系统、AI办公等核心业务域的智能平台、工具及产品的研发。针对智能对话、业务办事等高频场景，设计并实现高可用、高并发的算法解决方案。

### 多智能体（Multi-Agent）
- 主导多智能体协同算法与架构的设计与实现。探索知识图谱与大模型的协同推理机制，结合图结构知识提升Agent在多轮复杂交互中的逻辑推理、事实校验及路径规划能力。

### 模型微调与数据闭环
- 应用SFT、DPO/RLHF等大模型优化技术。通过持续的数据回流与模型迭代，提升垂直领域（如客服、办公）的模型输出效果。

### Agent平台与复杂场景赋能
- 建设企业级Agent平台，深度赋能智能数据分析、报告自动生成、用户行为预测等高阶应用场景。结合图谱技术解决幻觉问题，实现大模型能力在复杂业务逻辑中的端到端落地。 任职资格

### 教育背景
- 本科及以上学历，人工智能、计算机科学、应用数学、统计学等相关专业背景。

### 多语言工程能力
- 具备扎实的编程基础，熟练掌握 Python/Rust 等编程语言，具备跨语言的系统开发与性能调优能力优先。
- 深入理解并掌握 Transformer、BERT、GPT等主流模型底层网络架构原理。熟悉模型效果调优手段，能独立完成效果优化
- 精通 agent架构、多智能体协作机制。
- 深入理解知识图谱的构建与表示学习，熟悉图神经网络、图嵌入方法。

### 训练与优化能力
- 熟悉主流深度学习框架（PyTorch），具备SFT、DPO/RLHF等微调实战经验。

## At a glance
- Posted by the employer: Sep 20, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 30 days
- Location: 成都市[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=9E9DC149F1E5422788D7BC9E8D70BA73)

## More jobs at Ping An Insurance Group

### [AI 产品经理（智能体)](https://jobs.opennash.com/companies/ping-an-insurance/jobs/b8667e55fc27dd59850e/)

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### [AI应用工程师](https://jobs.opennash.com/companies/ping-an-insurance/jobs/251cfb2cc93e195e0cef/)

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### [Java架构师](https://jobs.opennash.com/companies/ping-an-insurance/jobs/6202818428c22685be0a/)

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### [三方渠道分部经理](https://jobs.opennash.com/companies/ping-an-insurance/jobs/919e658c90b27392db6f/)

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### [业务专家（成都）](https://jobs.opennash.com/companies/ping-an-insurance/jobs/bf5666d324f5f5dbb171/)

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