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Full Stack AI Engineer 全栈 AI 工程师, China (Remote) at Bjak. 📍 . 工作安排：中国（远程办公 - 可在全国任何地方工作）. 从模型到用户界面——构建真正智能的全栈 AI 系统. 在 . BJAK. ，我们正在用人工智能重塑东南亚的金融服务——让它们更智能、更简单、更具包容性。作为一名. 全栈 AI 工程师（Full Stack AI Engineer）. ，你将连接机器学习与软件工程，在系统架构、模型集成与前端交互之间搭建桥梁，把真正有价值的 AI 功能带给用户。. 本岗位为远程职位，需常驻中国，并与马来西亚总部及区域内跨职能团队密切协作。你将全栈参与，从后端逻辑、模型集成到前端交付，打造可快速扩展、真正落地的智能系统。. 为什么这个岗位重要. . 你是连接 AI 模型与用户体验的关键一环 . . 你的代码将影响数百万用户与智能金融服务的互动方式 . . 你将架构并交付融合后端、AI 与前端的完整技术方案 . . 你将在一个精干、高速的团队中成长，真正拥有项目主导权 . . 你将负责的工作. . 构建并部署融合机器学习模型的全栈应用 . . 与数据科学家和 ML 工程师协作，将模型集成到可扩展的后端系统中 . . 开发 API、后端服务与实时数据管道，实现智能功能落地 . . 设计直观、高性能的前端界面，将 AI 洞察传递给用户 . . 主导完整开发生命周期：架构设计、测试、部署与监控 . . 与产品、设计、工程团队合作，交付完整、精致的端到端解决方案 . . 持续优化 AI 产品的性能、可用性与稳定性 . . 如果你具备以下特质，你将非常适合这个岗位. . 以结果为导向，在意的是影响而不仅仅是代码行数 . . 能从头到尾解决问题，从数据到系统到用户体验全链路思考 . . 快速构建并更快迭代，V1 先上线再优化胜过等待完美 . . 擅长在混乱中推进项目，善于应对模糊、变化与资源紧张 . . 拥有创业者心态——不等安排，自我驱动，敢于探索 . . 学习力强，不断尝试新工具、新框架，从失败中快速成长 . . 虚心学习，也乐于带动他人一起进步 . . 带来能量、清晰和执行力，提升团队整体水平 . . 任职要求. . 计算机科学、软件工程或相关技术专业本科及以上学历 . . 2 - 4 年前后端结合的全栈开发经验 . . 熟练掌握 Python 与 JavaScript（包括 Node.js、React 或相关框架） . . 有将 ML 模型集成到线上系统中的实战经验 . . 熟悉 REST API、云部署与可扩展系统架构 . . 熟练使用 SQL / NoSQL 数据库与分布式系统 . . 熟悉软件设计模式、测试与调试流程 . . 常驻中国，能适应与国际团队的远程协作 . . 加分项. . 有使用 FastAPI、Flask 或 TensorFlow Serving 部署 ML 模型的经验 . . 熟悉现代前端技术栈如 Next.js、Vue、TypeScript 等 . . 接触过 MLflow、Airflow、Docker、GCP 或 AWS 等工具 . . 有初创公司或敏捷产品团队的工作经验 . . 对可解释性 AI、可视化呈现或复杂模型输出的前端展示感兴趣 . . 你将获得. . 具有竞争力的薪资与绩效奖金 . . 完全远程办公，灵活安排，覆盖中国任意地区 . . 高影响力与高主导权的技术角色，直接参与核心产品构建 . . 扁平化团队结构 - 你的想法被听见，你的代码被看见 . . 快速成长路径，横跨工程、数据与产品的可见度 . . 跨区域协作机会，深度参与东南亚多个市场的产品开发 . . 关于 BJAK. BJAK 是东南亚最大的数字保险平台. ，总部设在马来西亚，业务遍布泰国、台湾与日本。我们通过智能 AI 系统帮助数百万用户获得更可负担的金融保障。我们的产品通过自动化、推荐引擎与智能 API，简化复杂的金融流程，让服务变得更可访问、更透明、更公平。. 如果你期待通过全栈工程能力让 AI 真正“落地可用”，并希望在一个高速成长、充满主导权的环境中发光发热——欢迎加入 BJAK！. ------------------------------------------------------------------------------------. 📍 . Working arrangement: China (Remote - work from anywhere in China). Build Intelligent Systems from Model to UI - and Everything in Between. At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.. This is a remote role based in China, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.. Why This Role Matters. . You’ll be the critical link between AI models and user-facing experiences. . Your work will shape how millions of people interact with smart financial services. . You’ll architect and deliver full-stack systems that combine backend, ML, and frontend layers. . You’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everything. . What You’ll Do. . Build and deploy full-stack applications that incorporate ML models. . Work with data scientists and ML engineers to integrate models into scalable backend systems. . Develop APIs, backend services, and real-time data pipelines for intelligent features. . Design clean, performant, and intuitive UIs that surface AI insights to users. . Own the full development lifecycle - from architecture and testing to deployment and monitoring. . Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions. . Continuously improve the performance, usability, and reliability of AI-integrated applications. . You’ll Thrive Here If You.... . Own the outcome, you care about impact, not just lines of code. . Solve problems end-to-end, from data and systems to UI and user flow. . Build fast and iterate even faster, V1 out now beats V3 someday. . Move forward even in chaos, ambiguity, shifting priorities, and lean resources excite you. . Think like a founder - you don’t wait to be told, you figure it out and ship. . Learn aggressively, new tools, frameworks, and failures fuel your growth. . Have the humility to learn from others and the drive to help them grow. . Bring energy, clarity, and execution - and raise the bar for your team every day. . Requirements. . Bachelor’s degree in Computer Science, Software Engineering, or related field. . 2 - 4 years of experience in full stack development (frontend + backend). . Strong programming skills in Python and JavaScript (Node.js, React, or similar). . Experience integrating ML models into production systems. . Familiarity with REST APIs, cloud deployment, and scalable architecture. . Comfortable working with SQL/NoSQL databases and distributed systems. . Strong grasp of software design patterns, testing, and debugging. . Must be based in China and open to remote collaboration with international teams. . Nice to Have. . Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving. . Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript. . Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS. . Background in high-growth startups or agile product teams. . Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users. . What You’ll Get. . Competitive salary and performance-based bonuses. . Remote-first setup with flexibility to work from anywhere in China. . High-impact, high-ownership role in a product-led AI company. . Flat structure - your ideas are valued, and your code is seen. . Fast-track growth with real visibility across engineering, data, and product. . Regional exposure across Southeast Asia and the chance to shape products at scale. . About BJAK. BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.. If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.. Company Location: China.