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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。

產業類別： 電子通訊/電腦週邊零售業 職責要求 1.負責企業級應用系統之整體架構設計與技術決策，導入高可用、高擴充性的解決方案。 2.深度應用 Spring生態系（Spring Framework、Spring Boot、Spring Cloud、Spring Security 等）建構穩定、模組化的應用服務。 3.規劃並導入 微服務架構（Microservices Architecture），以 Kubernetes (K8s) 為核心的部署與服務治理平台。 4.建置與優化 APM 監控方案（如 Datadog、New Relic、Pinpoint、OpenTelemetry），提升故障追蹤與效能分析能力。 5.支援老舊系統架構重構與雲端遷移。 6.指導團隊進行架構設計、程式碼審查與性能調校，制定開發與部署標準。 7.撰寫架構文件、技術規範，並推動技術創新與最佳實踐。

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)

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

We are looking for an SDET (Software Development Engineer in Test) or Full-stack Developer who can take on multiple roles in system development, automated testing, and building internal support tools. This is an opportunity for you to participate in projects with modern technology, while contributing to cross-functional teams that deliver high-quality, robust, performance-optimized software to deliver the best user experience for our products.Mô tả công việcDevelop backend using Java and frameworks such as Spring Boot, Vert.x, Guice, etc.Develop internal tools to support software development and testing using React and Typescript/Javascript.Design, build, and maintain an Automation Test Framework using Selenium, Appium,… for web and mobile devices.Help to develop the automation foundation process as needed to ensure product quality.Collaborate with the DevOps team to implement and optimize the CI/CD process.Yêu cầu công việcBachelor’s Degree in Computer Science, Computer Engineering, or a closely related field;2+ years of experience in the related field;Proficient in Java programming;Experience with at least one Java framework such as Spring Boot, Vert.x, Guice, etc.Experience with React and Typescript or Javascript, especially in building internal tools;Ability to coordinate with DevOps to implement the CI/CD process;Ability to analyze and troubleshoot errors quickly;Logical thinking, careful, highly responsible, and proactive in work;Understanding of microservices architecture is a plus;Experience in developing and maintaining an Automation Test Framework with Selenium or Appium is a big plus;

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

Mô tả công việcPlatform Development:Design and implement APIs: Develop secure, well-documented APIs that allow merchants and users to create, manage, and monitor promotional/journey campaigns in real time.Develop scalable backend systems: Build reliable, fault-tolerant backend services capable of handling high user volumes while maintaining performance.Collaboration Teamwork:Work with cross-functional teams: Collaborate with frontend engineers and product owners to ensure the backend systems integrate seamlessly with the overall platform.Participate in code reviews: Regularly review and provide feedback on team members' code to maintain code quality and improve team knowledge.Fast Delivery Execution:Deliver features quickly and efficiently: Collaborate with team members to ensure rapid development and timely delivery of features, focusing on speed and quality.Prioritize speed in development cycles: Maintain a fast-paced workflow to meet deadlines and launch new features without sacrificing the stability or scalability of the platform.Yêu cầu công việcTech Stack:Core Technology: Strong foundation in Java, Go, Kotlin, or other JVM-based languages.Web Server: Spring Boot or Vert.x (both are good options).Databases: PostgreSQL, MongoDB, HBase (experience with any database is a plus).Qualifications:Experience: 1+ years of backend development focusing on Java, Go, Kotlin, or data structure optimization.Skills: Strong knowledge of Java, Go, or Kotlin programming, real-time applications, scalable system design, and problem-solving.Mindset: Fast learner focused on fast delivery, able to deliver quickly in a high-demand environment.Nice to Have:Knowledge of Spring Boot, Vert.x, and microservices architecture.Experience with promotion systems.

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. -

Mô tả công việcPlatform Development:Design and implement APIs: Develop secure, well-documented APIs that allow data scientists and data analysts to create and manage notebooks, Auto ML workflows and data monitors.Develop and monitor micro services: Develop model serving micro services and help monitoring service health and troubleshooting when needed.Develop scalable backend systems: Build reliable, fault-tolerant backend services capable of handling high user volumes while maintaining performanceCollaboration Teamwork:Work with cross-functional teams: Collaborate with frontend engineers and product owners to ensure the backend systems integrate seamlessly with the overall platform.Participate in code reviews: Regularly review and provide feedback on team members' code to maintain code quality and improve team knowledge.Excellent Execution:Deliver features efficiently: Collaborate with team members to ensure rapid development and timely delivery of features, focusing on quality.Yêu cầu công việcTech Stack:Core Technology: Python, Go, BentoML.Web Server: Spring Boot or Vert.x (both are good options).Databases: PostgreSQL, Redis, HBase (experience with any other database is a plus).Qualifications:Experience: Backend development (focusing on Python or Go is a plus).Skills: Strong knowledge of Python or Go, good algorithm mindset, and problem-solving.Mindset: Fast learner focused on fast delivery, able to deliver quickly in a high-demand environment.Nice to Have:2+ years of backend development focusing on Python or Go.Full stack web developmentKnowledge of microservices architecture.Experience with ML systems.