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Open nowPosted 81 days ago

AI Agent技术专家-北京

li/referral787 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI Agent技术专家-北京li/referral · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 81 days ago

li/referral median: 1 days open

The posting

1. 负责面向汽车测试场景的Agent平台架构设计与演进,主导Agentic-LiAT系统的Runtime架构规划与核心模块研发; 2. 设计并落地Agent Loop核心架构,包括工具调用链路、上下文管理、多轮会话、Session持久化、Checkpoint/Resume、错误恢复与降级策略等关键能力; 3. 主导Harness工程体系设计,涵盖System Prompt工程、Tool Schema规范、Middleware管线、Long-term Memory、行为评估与调优闭环,持续提升Agent输出质量与可控性; 4. 设计多Agent路由与协同架构,包括意图识别、任务编排、Agent间协议交互、不同编排模式(顺序/并行/层级/动态)的落地方案,并制定扩展性与可观测性标准; 5. 主导HITL(Human-in-the-loop)机制与被动触发链路架构设计,将Agent能力深度嵌入飞书、LiAT等业务工作流,确保人机协作体验流畅可靠; 6. 参与技术选型与标准制定,输出架构文档与最佳实践,推动团队Agent工程能力提升。

1. 三年以上AI相关开发经验,Python工程能力突出,具备复杂系统架构设计与落地经验,熟悉REST API、异步任务、消息队列、数据库等多服务协作模式; 2. 深入理解Agent核心运行机制,包括工具调用、上下文窗口管理、多轮对话状态机、失败重试与回退策略等,能够系统性地分析、调优和解释Agent决策过程; 3. 具备优秀的源码阅读与架构拆解能力,能快速理解主流开源Agent框架(如 LangGraph、CrewAI、AutoGen、OpenAI Agents SDK 等)的核心设计并评估适用性; 4. 对LLM Agent、Multi-agent系统、Tool Use、Agent Harness Engineering等方向有深入理解和明确的技术判断力; 5. 良好的沟通协作能力,能推动跨团队技术方案对齐与落地。 加分项: 1. 有LLM Agent / Multi-agent系统在生产环境的完整落地经验,能清晰阐述架构决策、技术取舍及踩坑复盘; 2. 有MCP、A2A等Agent互操作协议的集成或设计经验; 3. 有Agent可观测性、评估体系(Eval/Benchmark)、安全与权限控制等方向的实践经验; 4. 有相关研究、论文发表、开源项目核心贡献,或AI for Software Engineering方向的深度实践; 5. 有汽车/自动驾驶/测试工程领域背景者优先。

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