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1.依據產品需求與UI設計開發web應用程式, 與前端團隊合作開發 2.解決開發過程中遇到的性能、安全以及設備相容等相關問題

UI 實作與效能調校：與設計團隊對接，將 Figma 設計稿落實為高互動性的 Web 介面，並在開發過程中主動優化渲染效能。系統迭代與維護：負責既有產品的重構與功能擴充，在確保系統穩定性的前提下，評估並導入新功能，降低技術債。問題分析與解決：具備獨立除錯（Troubleshooting）的能力，能從前端角度釐清問題根源，並與團隊協作交付高品質軟體。

1.依據產品需求與UI設計開發web應用程式, 與前端團隊合作開發 2.解決開發過程中遇到的性能、安全以及設備相容等相關問題

🚀 我們正在協助一家專注於 智慧製造與工程設計數位化解決方案 的新創團隊招募 Full Stack Engineer。團隊致力於運用 AI 技術優化工程設計流程與產業效率，產品已實際導入製造場域並持續拓展應用場景。 ✨此職位將依候選人技術背景，彈性分配前後端開發比例，並參與團隊技術選型、規劃、到實作落地的完整流程。 【Responsibilities】 參與產品功能規劃與技術方案討論 開發與維護核心產品與新功能模組 撰寫高可維護性與可擴展性的程式碼 設計與開發 RESTful API，支援前端與第三方系統整合 開發資料分析工具或內部營運輔助系統 優化資料庫架構與資料存取效能 監控系統效能並持續優化服務穩定度與回應速度

【Company Highlights】一家專注於 工業製造 AI 視覺檢測系統 的科技公司，其使命是在製造業中利用 AI 提升品質控制效率與準確性。結合深度學習（Deep Learning）與機器視覺（Computer Vision）技術，用 AI 替代人工與傳統檢測方式。【Responsibilities】Develop and operate frontend systems that enable users to interact with data processing, annotation, and operational workflows. Own the full lifecycle of frontend features, including implementation, testing, deployment, and ongoing maintenance.Work cross-functionally with AI, backend, and product teams to validate requirements, prototype solutions, and ship production-ready features.Make informed trade-offs between user experience, system complexity, and engineering constraints.Drive continuous improvement by incorporating user feedback, monitoring usage, and optimizing existing functionality.

1. 使用 Vue 3、TypeScript 開發大型網站與仿原生手機程式網頁2. 使用 Git, 版控流程融合 GitHub flow 和 Git flow 的優點3. 會使用 RxJS、AJAX、WebSocket 等 Web 技術4. 工程團隊使用 G Suite Slack 溝通訊息5. 對 Coding Style 有要求，有 Code Review 的制度

Vulcan’s mission is to keep Generative AI safe, secure, and compliant for organizations worldwide. As a Frontend Software Engineer, you’ll build intuitive, high-performance user interfaces for products like Vulcan Protect (real-time monitoring dashboards) and Vulcan Attack (security insights and controls for automated vulnerability assessments). Working with a modern frontend-focused tech stack, you’ll collaborate closely with AI security experts and backend engineers to translate complex security, compliance, and reliability challenges into clear, actionable user experiences. In this dynamic, mission-driven environment, you’ll write high-quality, maintainable frontend code, contribute to UI/UX and architectural design reviews, and help shape products that make GenAI adoption safer and smarter. We value people who are creative, speak up with their ideas, take ownership as a team player, actively engage in discussions, are eager to learn, and are easy to collaborate with. 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/5744133004Thank you. - What you'll do Focus primarily on building and maintaining features for Vulcan’s products, with an emphasis on frontend development using TypeScript, React, Next.js, React Query, Tailwind CSS, etc. Utilize additional tools and technologies as needed with GitLab CI, Docker, shell scripting, etc. Write clean, efficient, and testable code, primarily for frontend systems, with some backend contributions. Collaborate with team members during design and code reviews to build scalable, high-quality solutions, with a focus on frontend architecture. Troubleshoot and resolve technical issues by analyzing logs, system performance, and user feedback. Build and maintain internal tools to support project teams. Contribute to documentation and keep it current as our products and team grow, with an emphasis on frontend-related updates. -

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. -

汪喵星球成立於2015年，於2024年團隊已超越四百人，我們仍努力保有新創團隊獨有的扁平溝通與團隊合作模式。隨著汪喵星球的茁壯，越來越多的用戶帶來更多的技術挑戰，從高承載量的服務平台、可乘載高併發流量的雲端架構、快速的Feature迭代、大量數據的分析，許多技術的挑戰等著你來征服！為了提供更好的購物體驗，歡迎喜歡挑戰、與追求技術成長的夥伴加入！若你還在猶豫汪喵星球，可以先看看我們的工程師文化 : 【從數據掌握真實問題，精進技術成長】汪喵飛速成長的使用量和團隊，所帶來的技術挑戰與新功能拓展的需求，不論是喜歡設計架構或是程式設計的你，都可以找到有興趣的問題來解決。在問題的定義上，我們透過分析和對於數據的掌握，確保夥伴們的努力，都能有對應創造的價值，努力不會白費！【難題不是一個人的事，團隊主動互相幫助】遇到問題的時候，團隊會一起解決，不會讓一個夥伴自己卡在難關上；問題解決後，也會將問題分析並且文件化，讓挑戰成為下一次的養分。【在這裡人生就是不斷的進步，好還要更好】團隊每個人都有能夠表達意見的機會，定期回顧一起走過的路，並思考未來怎麼做得更好。團隊定期也會安排內部的讀書會與課程的分享，在進步的路上可以互相幫忙。公司另有內訓與外訓的經費，讓技術的職涯持續成長。【你需要負責的工作內容】與PM、設計團隊討論「汪喵星球網頁平台設計與發展的策略」，使其平台使用高效率高品質。【我們希望你有的經驗跟特質】1. 三年以上 HTML / CSS / Javascript 經驗，並且了解如 asynchronous, types, closures, and ES6等觀念2. 一年以上React.js經驗【加分條件】1. 有作為前端技術管理者的經驗2. 喜歡參與新創團隊3. 喜歡研究新技術4. 喜歡參與討論與分享【其他補充】1. 團隊依照不同的需求配備Macbook 與 Windows 筆電，讓行動更有效率2. 上班地點為台北辦公室，前期需配合至新竹培訓（公司提供住宿）3. 上班時間 09:30-18:30歡迎登陸汪喵星球！如果你有信心能夠勝任這份工作，歡迎把履歷及加分條件等證明文件一併投遞到104或 [email protected] ，主旨開頭請加上 『 工作應徵【資深前端工程師(台北)】 -（你的名字）』年薪 90-160 萬，若能力超過，歡迎面議 。本職缺為長期招募，我們會通知合適者約面試，若不符合資格，將不另行通知，謝謝大家。

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in a Science, Technology, Engineering, and Mathematics or a related field, or equivalent practical experience. 6 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms. Experience in developing Generative AI (GenAI) solutions with foundation models, first-party model tuning, and advanced Retrieval-augmented generation (RAG) architectures. Preferred qualifications: Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related technical field. Experience in implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. Ability to build full-stack applications that interact with enterprise IT infrastructures, and perform interviews to find the business problem and translate hardware/AI constraints for technical teams. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will manage blocker to production including solving the integration complexities, data readiness issues, and state-management tests that prevent AI from reaching enterprise-grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming field insights into Google Cloud’s future product roadmap.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Serve as the lead developer for AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Master Control Program (MCP) servers) that drive Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters. Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.