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我們是一家穩健成長的科技公司，長期深耕醫療產業並持續擴展數位服務版圖。近年積極投入系統現代化與雲端轉型，導入新一代架構與開發流程，打造高穩定、高擴展性的產品平台。團隊重視工程文化與技術品質，提供工程師良好的發揮空間與決策參與度，適合希望在穩定環境中持續精進技術深度的你。 【工作內容】 設計與維護 RESTful API / gRPC 服務，確保系統穩定與可擴展性規劃資料庫架構並進行效能優化與備援設計建立容器化部署流程，持續優化 CI/CD參與系統架構設計與技術選型，推動微服務化建置監控與告警系統，進行效能分析與問題排除撰寫技術文件並與跨部門協作

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only)On-call needs: On-call 1 week every 3 months The complete interview process includes:1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

*Job Overview We are seeking a backend engineer to build AI-powered legal automation services. You’ll be responsible for developing stable, secure, and scalable backend systems, supporting features like smart document parsing. *Responsibilities 1) Design and implement backend APIs and microservices. 2) Integrate NLP models and databases to process legal documents. 3) Optimize system performance and automation accuracy. 4) Collaborate with frontend, product teams. 5) Write tests and debug to ensure system stability. 【職位概述】 我們正在尋找一位後端工程師，專注於打造結合人工智慧與法律自動化的服務。此職位將負責開發穩定、安全且可擴展的後端系統，支援智慧文件解析等核心功能。 【工作內容】 1) 設計並實作後端API與微服務架構。 2) 整合 NLP 模型與資料庫以處理法律文件。 3) 優化系統效能與自動化流程準確度。 4) 與前端、產品團隊合作。 5) 撰寫測試與除錯，確保系統穩定性。

建構與維護 AI 應用微服務架構，使用 FastAPI、Pydantic、SQLAlchemy 等技術堆疊整合 OpenAI API、HuggingFace 模型與內部 LLM 推論流程，開發彈性可擴展的 inference pipeline與資料科學家合作，協助 AI 模型部署與效能最佳化使用 Docker 與 K8s 建立容器化部署流程，實現 DevOps 自動化與多環境可遷移性實作 CI/CD pipeline（GitHub Actions、Terraform 等），佈署至 GCP/AWS 等雲端平台設計穩定與高可用的 RESTful API / event-driven 架構，提供高品質產品對外服務介面參與跨部門產品設計與開發週期，實現 AI 功能與用戶需求之間的最佳整合

【公司部門簡介 About Us】國際消金發展部致力於推動海外數位金融，打造高品質、創新的數位金融服務。我們的團隊擁有金融及非金融領域的多元菁英，包括網路科技和數位行銷等專業。強調團隊合作文化，期待透過多元團隊創造前所未有的金融服務可能性，深入了解世界各國金融服務文化與特色。【角色定位 Role Responsibility】負責與產品開發團隊緊密協作，尋找並建立提升用戶體驗、創造商業價值的數位金融合作機會。期待能引入創新元素，拓展消費者應用場景。【 職務需求 Job Requirements 】 - 具 JAVA 程式開發經驗。- 熟悉Spring Boot framework；有Spring Cloud佳。- 熟悉MVC架構和RESTful API開發。- 熟悉至少一種以上的資料庫應用(如Oracle等)。- 有ORM和微服務開發經驗。- 有Docker容器技術使用經驗。- 有伺服器(如Tomcat、IIS等)使用經驗。- 有雲服務(如GCP、AWS等)經驗。- 對金融數位產品有興趣、自我學習能加強、喜歡研究新技術。- 具團隊合作意識、能與成員協力合作、有Scrum經驗佳。- 樂觀進取、積極主動；敢於創新、挑戰不同。- 需國內外出差。【發展與培訓 Development Training】目前正在積極拓展海外市場，工作充滿挑戰。加入我們一起成為台灣發展海外數位消金平台的引領者，在這個嶄新且具有挑戰性的環境，實現不斷成長的可能。國泰將提供多元的集團培訓計畫，包含專業的產品知識訓練，再依據需求有機會報名參加由集團與知名企業合作的數位行銷、分析、使用者體驗等相關課程，有趣的定期講座和實用的實戰工作坊。同時也有申請外部課程進修補助管道。此外，您還有機會深入了解不同業務部門，發掘並深化在您感興趣的專業領域的工作。我們誠摯邀請您一同踏上這個充滿發展機會的旅程。工作待遇面議

我們是一家以匠人精神為核心的醫療資訊系統軟體公司，致力於打造次世代醫療資訊系統，幫助病患與醫事人員更有效率地實現醫療目標。我們專注於開發醫療資訊系統及電子病歷的核心技術，採用 Modern Web 開發技術讓醫療院所的系統可運行在公、私有雲上，提供最佳解決方案。• 設計、開發與維護高可靠性的醫療資訊系統，確保系統穩定性與安全性• 負責前後端完整開發流程，包含使用者介面設計實作與後端API開發• 與跨部門團隊合作，包含產品經理、UI/UX設計師與醫療專業顧問，打造符合使用者需求的解決方案• 參與系統架構設計，優化程式碼效能，提升系統響應速度與可擴展性• 應用最新的技術框架與工具（如雲端技術、微服務架構等），推動產品創新• 確保產品符合醫療法規（如HIPAA、GDPR）與資料隱私標準1. 前端技術能力• 熟悉 Angular 框架，具備 Tailwind CSS 經驗者佳• 能理解設計稿與使用者操作邏輯，配合調整元件樣式與互動行為• 了解 RESTful API 基本概念，能與後端協同討論與整合API規格2. 後端技術能力• 熟悉 Node.js 生態系統• 具備使用 NestJS 或其他類似框架的開發經驗• 能撰寫基本 API 並規劃模組結構• 理解關聯式資料庫概念，具備基本 SQL 操作能力，熟悉 MySQL 者佳• 具備 RESTful API 設計與串接經驗3. 加分項目• 具備醫療資訊系統開發經驗，熟悉醫療流程、健保、FHIR 等相關標準• 對醫療資訊系統或健康科技有興趣• 能參與使用者訪談，協助釐清需求並產出規格文件4. 備註• 我們重視多元與包容，歡迎所有符合資格的申請者• 請於履歷中附上相關作品集或 GitHub 連結• 歡迎對醫療科技有熱忱的人才加入我們的團隊※薪資待遇及任用條件將依個人學經歷背景核定。