About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
AI Agent技术专家-北京 北京 全职 研发 - 算法 职位描述 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。 职位要求 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。 投递...
Agent开发工程师 北京、上海 全职 智能制造 / 工业互联网 / 工业自动化 - 研发 职位描述 聚焦智能汽车研发与质量,提效AI Agent和相关产品的全栈开发。- 负责AI应用产品的前端和后端系统设计与开发(相关产品,如问题分析Agent,方案审核Agent等)- 参与需求分析、架构设计与方案评审,与需求方团结协作,保障高质量交付- 跟踪LLM技术及行业应用趋势,结合电动汽车研发质量业务特点,持续优化智能应用方案 职位要求 - 1-3年工作经验,具备完整Agent开发能力,熟练掌握LangChain / LangGraph、OpenAI Agents、Dify 等开发框架,熟悉OpenClaw,Multi-Agent Systems 及前沿 AI Agent 技术趋势。- 能够完成 AI 应用系统的后端开发(Python / Java / Node.js 等)、API接口开发及服务化部署(如 Docker 等);- 熟练掌握 RAG架构及常见优化方法,如 Chunk 切分策略、Hybrid Search、Re-ranking、多路召回、结构化知识库构建等;- 熟悉常见数据库的使用与数据处理,如
【27届校招】智能座舱端侧Agent研发工程师(北京) 北京 正式 研发 - 算法 职位描述 1、参与端侧智能座舱AI Agent系统的研发,打造基于大语言模型的多模态座舱智能助手,支撑车控、导航、媒体、舱驾融合等核心场景的智能化交互; 2、参与端侧 AI Agent 核心模块的开发,包括任务规划、工具调用、上下文管理、记忆系统等harness相关关键能力的设计与实现,推动智能体系统的迭代落地;3、综合业务场景,参与 Agent 系统的调试与性能优化,解决工程落地中的各类问题,保障系统的稳定性和可扩展性。 职位要求 1、扎实的数据结构和数学基础;2、以Java/C++为基础的扎实编程功底;3、深度了解 LLM API、KV Cache、Tool Use、Reasoning/Planning、Multi-Agent System;4、能够娴熟运用 AI Agent 工具支撑软件开发业务,具备优异的自主技术钻研能力。针对自身暂无实操积累的编程语言、开发框架与技术体系,可借助 AI 辅助完成技术攻关与调研;5、热衷 Agent Harness 体系的研发与学术探索,对大模型输出行为具备精准判别能力。【加分项】1、有ACM/ICPC、NOI、Kaggle等比赛获奖经验;2、有嵌入式C++软件或是Android 开发经验。 投递...
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About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to
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About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
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About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to