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為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！職責 我們正在尋找技術精湛、經驗豐富、具有深厚 MS SQL 背景的 C# 工程師來開發和維護我們的大型事務系統。透過與跨職能團隊合作來分析、設計、實施、測試和部署新產品功能/增強功能。開發和最佳化 SQL 查詢、預存程序和資料庫模式設計，以確保高效的資料檢索和儲存。進行程式碼審查、效能單元測試並解決問題，以確保程式碼品質和應用程式穩定性。

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)

About the RoleAs a Tech Lead, you will spearhead an engineering pod, taking full ownership of project delivery and system evolution. You will bridge the gap between product requirements and technical excellence, ensuring our systems remain scalable and stable while migrating from legacy architectures to modern microservices.What you'll Do• Project Leadership: Drive end-to-end project lifecycles, manage timelines, and unblock development bottlenecks to ensure timely delivery.• Architectural Evolution: Plan and execute migrations from legacy systems to microservices, ensuring high availability and scalability.• Operational Authority: Partner with DevOps to review production changes and act as a Tier-2 responder for critical incidents (P0/P1).• Quality Mentorship: Enforce rigorous Code Reviews, oversee the output quality of our outsourcing partners (SotaTek), and mentor L2/L3 engineers.7

公司介紹 這是一間知名的零售集團，結合旗下多通路的優勢，與上百萬的會員，正在積極發展電商平台。致力於打造高效、安全且可擴展的電商平台。該公司服務數百萬用戶，每秒處理上千次交易，並持續優化系統性能與用戶體驗。技術團隊採用雲端技術與微服務架構，確保平台穩定運行，並支持業務快速成長。 邀請有電商同業經驗者加入！加入早期發展團隊，一起打造高流量團隊，挑戰台灣前三大電商。 工作內容 作為資深後端工程師，您將參與電子商務平台的核心開發，設計並優化高併發、高吞吐量的後端架構。您將與技術團隊合作，確保系統能夠應對大規模交易流量，並透過自動化與效能調優提升穩定性與可擴展性。 您的主要職責將包括： 系統開發與優化：設計並實作高併發、高效能的後端服務，確保系統穩定運行。 API 設計與效能調優：優化 RESTful API，提升響應速度與可擴展性。 雲端部署與 DevOps：運用 Docker、Kubernetes（K8S）進行容器化管理，並實施 CI/CD 流程。 程式碼品質與審查：撰寫乾淨且可維護的程式碼，審查團隊成員的開發成果，確保最佳工程實踐。 系統問題分析與解決：監控與調優高流量環境下的系統效能，確保穩定性與高可用性。 技術環境 開發語言：Java (主要)/ Python / PHP 雲端與容器化：AWS / GCP、Docker、Kubernetes（K8S） 系統架構：微服務、RESTful API、高併發架構 持續整合與部署：CI/CD、效能監控、故障排除

We are seeking a Senior Software Engineer to be the technical heartbeat of our GenAI security capabilities. In this role, you sit at the exciting intersection of Research and Product, turning breakthrough experiments into scalable, production-grade software. You won’t just be implementing features; you’ll be designing the sophisticated tooling and AI Agent architectures that make the Vulcan Platform unique. We offer a playground for builders who want to solve unsolved problems, master advanced prompt engineering, and work alongside a world-class team. Come build the shield for the AI era and expand your technical horizons. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744136004 Thank you! - What you'll do 1. Core Application Platform Development (Full Stack) Vulcan Platform: Partner with Product and Design to build intuitive frontend interfaces (React, Next.js) for dashboards, configuration consoles, and visualization tools. Backend Services APIs:Develop and maintain the essential APIs (FastAPI/Python) and microservices that power the Vulcan platform. Architect robust task execution systems using Message Queues (Celery, RabbitMQ) to handle long-running asynchronous AI inference tasks. Internal Tooling Ecosystem: Build frontend and backend tools that accelerate internal teams (Project, ML/AI), including configuration panels, data visualization pipelines, and evaluation interfaces. Guardrails Security Features: Implement backend services for AI guardrails (content moderation, prompt filtering) and automated adversarial testing pipelines. 2. GenAI Agent Logic Engineering Prompt Engineering as Code: Treat prompts as software logic. Lead the design and implementation of AI Agent behaviors, optimizing responses through structured Prompt Engineering techniques. Agent Workflow Design: Orchestrate complex, multi-step LLM workflows where the "application logic" involves chaining model interactions effectively. Response Handling: Design robust parsing and validation mechanisms to ensure raw model outputs are converted into structured, usable application data. -

這是一家深耕台灣金融科技領域、提供高品質數位金融服務的科技公司，以打造「更直覺、安全且多元的支付與金融體驗」為使命。多年來持續以創新技術優化消費者的日常交易場景，並與多家大型金融機構合作推出新型態金融產品，不斷拓展從支付、帳務管理到跨境服務的完整數位金融生態圈。 團隊文化重視透明溝通、技術卓越與高自主性，工程團隊在公司具有關鍵地位，能真正影響產品架構與技術方向。如果你期待在高使用量、關鍵任務系統中發揮工程深度與技術領導力，這會是難得的舞台。 ｜工作內容｜ 帶領後端工程團隊，推動技術品質、流程優化與人才成長 主導後端系統的架構設計、整合策略、效能與穩定性提升 分析業務需求並負責系統從設計、開發到維運的完整流程 撰寫並維護高可用、高安全性的後端服務 進行 code review、技術決策與問題診斷，協助團隊解決技術挑戰 規劃並導入 CI/CD、自動化測試與部署流程，提高開發效率 參與跨部門溝通，提供技術觀點並協助推動產品策略 針對大型金融交易流程進行效能優化與資料庫調校 ｜使用技術｜ .NET / .NET Core Microservices、SOA、企業整合架構 SQL / RDBMS、資料建模 CI/CD、自動化測試、DevOps 雲端 / 容器化（依產品架構為準）

Key Responsibilities● Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects● Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate● Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production● Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives● Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process● Advanced proficiency in Object Oriented Design (OOD) and analysis. Advanced proficiency in application of analysis/design engineering functions. Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc. Advanced proficiency in advanced behavior-driven testing techniquesOur Stack● Application Framework: Java 8, Spring Boot● Microservices: Spring Cloud (Spring Cloud Config / Open Feign / Spring Cloud Hystrix / Spring Cloud Gateway)● Database: MySQL (Aurora / RDS)● Public Cache: ElastiCache, Redis (MS, Sentinel, cluster)● Message Queue: Apache RocketMQ, RabbitMQ, Kafka● Coordinator: Zookeeper● APM: Jaeger, opentracing● Documentation: Springdoc-OpenAPI● Search and Reporting: ElasticSearch● Log Real-time Visualization: ELK, Loki● Monitoring: Prometheus, Grafana, CloudWatch● Container: Docker, Kubernetes● CI/CD: Jenkins, ArgoCD

我們正在尋找一位想主導架構、影響產品方向、打造可長期演進的系統的優秀人才設計與優化 高可用、高效能、可擴展 的後端系統架構 使用 Golang / Python / Java 打造核心服務（依產品場景選擇最適語言） 主導關鍵技術決策（架構、技術選型、系統拆分、效能策略） 與 Product / Frontend / Data / DevOps 深度協作，讓想法真正落地

工作內容 MaiCoin 微服務設計/開發/測試/維護MaiCoin / MAX 效能分析與網站延展性改進MAX / MaiCoin 平台維運後端支援 福利與環境 Macbook + 27" 大螢幕隨時補充滿滿的零食與飲料不定期辦公室聚餐與教育訓練開放式管理風格與舒適工作環境便利交通位置，捷運站出口直達 出勤與休假 彈性上班時間，可在家工作員工一入職每年享有30日不扣薪事病假女性員工每年還有3日不扣薪生理假 薪資與津貼補助 保證百萬年薪年度健康促進補助NTD 30,000結婚補助NTD 12,000生育補助NTD 20,000 - NTD 50,000喪葬補助NTD 30,000團隊團建活動每季每人補助NTD 1,000 員工推薦獎金 員工三節禮券員工團體保險個人進修補助

公司介紹 我們是一家深耕亞洲市場的品牌集團，結合零售、電商，致力打造全通路消費生態圈。隨著數位轉型持續推進，我們積極導入 AI、資料分析與雲端技術，強化顧客旅程的數位體驗與營運效能。 團隊氛圍開放協作，具備高度彈性與自主性，並擁有穩健的資源投入，提供工程師施展長才的舞台。 工作內容介紹 你將加入數位創新技術團隊，專注於後端架構設計與產品功能開發，涵蓋電商、會員、行銷、物流等多元場景： 開發與維運核心後端系統與 API，支援業務多元需求 設計與優化雲端平台架構，處理複雜商業邏輯 與產品、前端、資料分析等團隊密切合作 撰寫技術文件、參與 code review，協助團隊提升品質 加分：參與自動化測試與微服務拆解專案 使用技術 開發語言：Golang（主力）、可觸及其他多語言架構 架構設計：RESTful API、gRPC、微服務架構（Microservices） 資料存取：PostgreSQL、NoSQL、Redis 等快取技術 開發與部署：Git、Docker、CI/CD、GCP、Kubernetes（加分）