AI Engineering Jobs in China
There are 682 open AI Engineering jobs in China on freehire right now. 111 of them were posted recently. The skills employers ask for most often are ai, python and rag.
Most requested skills
- ai 38%
- python 37%
- rag 28%
- java 27%
- llm 25%
- cpp 17%
- agentic-ai 11%
- pytorch 10%
How the work is done
- Onsite 11 · 2%
- Hybrid 8 · 1%
- Remote 6 · 1%
Visa sponsorship offered in 83% of the 6 postings that state a position on it.
Seniority
- Intern 138
- Senior 57
- Staff 4
- Lead 3
- Principal 3
- C-level 2
Who is hiring
- 1000+ employees 49
- 11-50 employees 3
- 501-1000 employees 2
AI Engineer | Insurance
Designs and deploys AI-driven banking solutions using Python, LLMs, and agent workflows to automate processes and improve customer experience in a regulated financial environment.
SaaS技术部-AI Agent开发工程师
Meituan's SaaS division in Chengdu is hiring an AI full-stack engineer to build restaurant chain-management products using AI coding tools — doing React frontend and Java backend development, architecture work, plus AI-native features (RAG/Agents) and the team's AI-driven SDLC workflow.
AI Agent开发工程师
架构演进 持续迭代 AI Agent 应用架构与研发流程,主导设计 Agent 运行时、任务编排、工具调用、上下文管理、记忆体系与安全策略 建设覆盖前端、Node/BFF、后端服务、模型服务与 CI/CD 的全栈研发基础设施 结合 Neo4j 构建知识图谱,结合 Milvus 等向量数据库构建 RAG 与语义记忆能力 效能与质量 关注任务完成率、错误恢复率、首响时延、Token 成本、调用成功率等关键指标 建立 Agent…
Autonomy Operation Agent Engineer
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about…
阿里国际-AI应用研发工程师(终端)-杭州
我们面向国际电商业务建设终端研发协作与交付平台,通过AI应用与Agent连接开发、构建、集成、发布、诊断和运行保障,让研发人员聚焦关键判断,减少重复操作和流程盯守。 1.面向研发交付、体验诊断和平台运行保障等场景,参与需求分析与技术方案设计,独立负责具体AI应用或Agent模块的开发、上线与持续迭代;建设工具调用、上下文管理、知识检索和任务编排能力,通过API、CLI、MCP等连接平台及业务系统。…
Staff Back-end Engineer [L6-1] (GenAI Creative)
Staff back-end engineer on Coupang's NCA & Taiwan Ads team in Shanghai, building GenAI systems: an automated video ad-creative pipeline, AI agent platform, AIOps, and AI-native SDLC. Work spans large-scale Java/Python distributed services and LLM/multi-agent architecture (RAG, function calling, LangChain/LangGraph).