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Open nowPosted 36 hours ago

资深AI开发工程师

nio/index1,738 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now资深AI开发工程师nio/index · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. nio/index postings stay open a median of 7 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 36 hours ago

nio/index median: 7 days open

The posting

岗位职责 1. 架构设计与核心研发:主导车云产品的架构设计与核心服务研发;负责将业务需求抽象为技术规格(Spec)与验收标准,端到端把控技术方案落地、核心编码与生产交付。 2. Agent 框架演进:负责 Agent 及其运行框架(Harness)的架构设计与实现,构建健壮的上下文管理(Context Engineering)、工具调用(Tool Use)与工作流编排能力,支撑高效、可复用的安全分析与响应流水线。 3. 垂域模型工程落地:负责垂域场景下专用机器学习模型及轻量化大语言模型(SLM)的选型、训练、微调(Fine-tuning)、评测与线上推理部署。 4. 安全合规与工程质量治理:在系统架构中严格落实最小权限访问控制、数据安全隔离与合规审计机制;建立自动化测试与严谨的 Code Review 机制,保障核心交付质量。 5. 数据闭环与自进化链路建设:主导业务数据管线建设,打通业务场景数据与 Agent 执行反馈链路,持续驱动 Harness 调优与模型迭代,构建“运行-反馈-优化”的数据闭环。

任职要求 1. 基础背景:计算机、软件工程或相关专业本科及以上学历,5 年以上软件研发经验,具备高可用、高可靠生产级系统的独立架构设计与落地交付经验。 2. 工程与编码能力: - 熟练掌握 Java、Python 等主流编程语言及脚本工具,具备扎实的系统设计与代码实现功底。 - 具备现代 AI 辅助研发(AI-native Coding)深度实践经验,能熟练运用主流代码 Agent / 编程辅助工具拆解需求、组织任务,并具备通过自动化测试与代码审查把控生成代码质量的能力。 3. AI / 模型生产落地经验:在 Agent/LLM 应用架构落地 或 垂直场景模型研发 至少一个方向具备成熟的生产落地经验,曾主导关键技术模块的权衡设计(Trade-offs)与上线交付,能清晰复盘技术收益。 4. 模型微调与数据工程:具备垂域大模型微调、提示词工程(Prompt Engineering)及高质量训练/评估数据集构建的实操经验。 5. 数据存储与架构能力:具备扎实的 OLTP 数据库设计与优化经验,熟练掌握 MySQL、MongoDB 等关系型与 NoSQL 数据库的建模、调优及高并发处理。 加分项 / 优先条件 - 安全领域经验:具备车云安全(VSOC)、车联网安全协议、PKI/CA、证书与密钥管理系统(KMS)、代码/固件签名或自动化安全检测产品研发经验者优先。 - 大数据分析架构:具备 OLAP 架构设计、ETL 离线/实时数据管道开发或大数据分析挖掘经验者优先。 - 安全架构意识:深入理解身份认证鉴权、多租户数据隔离与审计合规机制,具备敏锐的安全风险识别意识,能针对服务与 AI 工作流中的潜在脆弱点制定严密的技术防护方案。

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