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awoo 阿物科技以深厚的 SEO 顧問專業起家，成功轉型為服務全球逾 16,000 家企業的 MarTech 領導品牌。面對生成式 AI 改寫企業營運與消費者行為的巨浪，awoo 結合「頂尖 AI 技術」與「十年顧問實戰經驗」，推出具備市場前瞻性的 GEO (Generative Engine Optimization) 與 LLMO 解決方案。我們致力於協助企業在大型語言模型主導的未來，不僅被 AI 看見，更被精準引用與推薦，將 AI 轉化為企業持續成長的最佳 Agent。【可接受農曆年後入職】 Major Duties and Responsibilities： 產品落地與協作：負責開發和優化 AI 產品與服務，從 PoC 到產品化，跨部門合作提出創新解決方案，推動 AI 產品落地。效能優化：維運現有系統，分析並解決服務和算法的效能瓶頸。ML/Data Pipeline：設計與建立可擴展的 Pipeline 自動化流程，提升開發和部署效率。 Qualifications： 具備 5 年以上軟體開發經驗，3 年以上 AI 產品研發經驗。熟悉自然語言處理（NLP）、生成式 AI 相關技術（LLM, RAG, Prompt/Context Engineering），使用開源套件或自行開發算法（Transformers, LangChain, LangGraph, DSPy, TensorFlow, PyTorch, Scikit-Learn）。具備模型的開發、訓練、部署、優化的完整實務經驗。具備使用 Container 和 Kubernetes 的開發與部署經驗。熟悉向量資料庫與 Embedding 模型，確保系統效能與可擴充性。熟悉分散式計算與查詢引擎（如 Spark、Trino、Clickhouse），具有處理大量資料處理開發與維運經驗。熟練 Git, Linux, Python, Docker, SQL，能以 FastAPI 開發高效服務。 Nice-to-Have： 雲平台經驗，如 GCP, AWS, Azure。具有 LLM/SLM Finetuning 實務經驗。MLOps/LLMOps 專案經驗，以量化指標來衡量模型和產品的成效。規劃與實作 CI/CD 自動化流程。具備推薦、搜尋或貼標系統的產品化經驗 擅⻑工具（JD 標籤） 程式與開發：Python, Git, Linux, SQL, FastAPIGenAI：RAG, Prompt Engineering, Context Engineering, Agent資料與運算：Airflow, Spark, Trino, Vector Database, Qdrant平台與部署：Docker, Kubernetes, Cloud, GCP, AWS, Azure

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience. 2 years of experience in software development in languages such as C++. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields. Familiarity with software for AI infrastructure, reference OS, storage. Understanding of cloud or data center compute, storage technologies. Ability to develop deep knowledge in machine learning and AI, including the underlying hardware and software stacks. Excellent problem-solving skills with the ability to grow in a fast-paced, collaborative environment. Excellent communication skills along with experience working with cross-functional teams, including engineers, product managers, and technical program managers. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will design and implement software for bootstrap and configure the Compute or Storage components, OS image deployment and node specific software as agents or offload computation, integrating with both TPU clusters and cloud infrastructure.Responsibilities Collaborate with TPU Software (SW) and Hardware (HW) team and help design, develop and validate TPU based systems for standalone deployment. Build and integrate Cloud Compute software to bootstrap TPU AI Infrastructure. Drive high-quality, timely delivery of projects within your team. Partner with cross-functional leaders to shape the future of ML infrastructure. Mentor team members by providing technical guidance and fostering their growth. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.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 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. 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.

1. AI Agents 的導入： 　Ａ與各單位的使用者合作，理解單位需求，進行流程梳理、流程方案規劃與建議 　Ｂ負責AI Agents 與其他系統的整合 - 建立AI Agnets ，並且導入於使用者作業流程中 　Ｃ追蹤使用狀況、問題排除以及持續優化　Ｄ反饋問題與建議給AI Agents 平台 2. Domain 相關資料的資料治理： 　Ａ將資料按品質、用途做分層，讓資料的處理流程易於維護、追蹤與擴充

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

The Role At Circle, the Software Engineer Team is responsible for: Developing and maintaining all customer-facing products, including firmware, web/app applications, database management and cloud infrastructure. Focus on delivering real-time, easy-to-use and robust applications. Handling a large amount of requests and scaling efficiently. As a fullstack engineer, you will participate in product development. You will build our UI from design, construct backend API, and manage entire server infrastructure. This includes all associated areas such as database and architecture design. You will expand your experience in building machine learning products and collaborate with AI researchers and engineers on industry-leading applications that process vast amounts of data What You'll DoImplement the features and user interfaces of Circle products Architect efficient and reusable front-end systems that drive complex web applications Optimize our web application performance to ensure great user experience Design and build scalable REST APIs for Circle AI products. Performance optimization, database management, and system horizontal scaling. Participate in code reviews to maintain a high-quality code culture. You will face streaming, network, computer vision, machine learning, application optimization, and cloud infrastructure issues very often. You will work with a diverse team of different foreign backgrounds wherecommunication skills matter. We are moving fast to handle a dramatically increasing number of connected devices. Scalability and efficiency are our chief concerns.

你是對產品有熱情、對技術有野心的 iOS 工程師嗎？ 你喜歡快速學習、主動嘗試，想參與產品從 0 到 1 的成長？ 歡迎加入 i-TRUE（艾思網絡股份有限公司），我們是國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司istyle Inc.集團。除日本、台灣外，在香港、大陸、韓國、美國等地，亦有集團旗下化妝品社群/電商/零售等相關事業營運。現在正朝向 AI 賦能與全球化服務邁進。 我們在找的 iOS 工程師： 具備原生 iOS(Swift)開發經驗熟悉 App 上架、維運與基本 UI/UX 架構具備獨立開發與 debug 能力，勇於挑戰問題若有 Android 開發經驗加分(我們雙平台皆有開發)對 AI 技術應用或跨國服務架構有興趣大加分！ 你將參與： 維運與優化 @cosme TW / HK App與各國協作，支援 @cosme 的 Global App 開發將 AI 技術導入平台，打造「以消費者為中心」的智慧消費體驗 在這裡，我們相信工程師不只是寫程式的人，而是 「創造價值」的關鍵角色。

國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司集團istyle Inc.。除日本、台灣外，在香港、大陸、韓國、美國等地，亦有集團旗下化妝品社群/電商/零售等相關事業營運。 網路產業隨著科技的不停進步，許多新技術不斷創新，加上AI重塑了工程師的日常工作樣貌，利用AI協作，大幅提高工作效率，而「整合應用」則成為了新一代工程師的必備能力，學習各式工具並透過排列組合，優化/解決當前遇到的各式問題。 為維運@cosme TW、@cosme HK及整體Global平台系統，技術研發主要分成三部分： Ruby on Rails網站相關技術：利用ROR、HTML、JS、CSS持續開發網站功能。大數據相關技術：利用MongoDB自行開發Data Management Platform，並應用於數據分析、廣告投放、個人化推薦、OneID辨識等地方。AI相關技術：導入LLM應用於@cosme平台，啟動AI賦能，將現行服務+AI。

泰科動力是成立於2021年的『成長公司』，我們的團隊成員來自德國KUKＡ機器人核心研發團隊，團隊平均有10年以上『自動化設備』與『自主移動機器人』開發經驗。團隊在機器人產品設計經驗豐富且成果豐碩。 我們的核心價值為團隊（Team）、人工智能 (AI)、互聯 (connection)、秉持著員工是公司最重要資產，我們重視每一位員工，除了有良好工作環境、也提供學習及成長的空間，主動積極的栽培優秀人才，現在就差最優秀的您加入，一同創造嶄新的未來。 【What Will You Do】負責倉儲管理的前後端開發 (React.js C#)，確保應用端功能整合。另視任務需求及個人志趣安排核心後端開發任務。1. 主動與產品經理、UI/UX 設計師、行銷團隊及老闆等 stakeholders 進行深度協作，透過提問、分析、提出多種解決方案及優劣比較，共同釐清需求。2. 運用 Scrum 中增量交付的心態與方法，協助公司快速驗證產品概念，並根據內部回饋和未來潛在的外部客戶回饋，持續調整開發方向。3. 撰寫清晰的技術文件，並積極分享技術知識，促進團隊共同成長。4. 參與 Design Review 和 Code Review，確保程式碼品質，並促進團隊知識共享。5. 設計、開發和維護自動化測試案例，包括單元測試、整合測試和端對端測試，確保程式碼品質和系統穩定性。6. 參與持續整合/持續交付 (CI/CD) 流程的設計和實作，提高軟體交付效率與品質。【我們期待你擁有以下特質】1. 共同承擔責任，共同解決問題，我們相信團隊的力量。2. 在不確定性中主動思考、積極溝通、快速迭代的思維模式。3. 擁抱變化，持續改進，我們在快速迭代中尋求卓越。【 Entry level技能】1. 熟悉 React.js 前端開發及 Hooks、Redux 等 React 生態系常用函式庫。2. 對軟體工程的 design principles 有基本理解。e.g. OOP, SOLID, design patterns【Mid-senior/senior level技能】1. 對軟體工程的 design principles 有深刻的見解。e.g. OOP, SOLID, design patterns2. 熟悉 C#。3. 熟悉 Docker 容器化技巧輔助開發。4. 熟悉 Jenkins Pipeline GitLab CI/CD 或其他 CI server。

GliaCloud 提供以人工智慧為基礎的影音產製平台，透過多項產品與 AI 技術，賦能橫跨全球的媒體與企業客戶輕鬆創建大量多樣化的影片。 作為後端工程師，你將與一群喜歡挑戰並樂於學習新技術的同伴們一起設計並且打造兼俱效能、彈性的智能影片合成系統，幫助公司及自己成長。你負責的工作內容包括 開發及維護影片產製相關程式。使用 Django 開發網路服務。協助進行機器學習需要的數據蒐集與分析。 我們是一個扁平而高效的團隊，你將緊密協作於團隊的多元角色：工程師、產品經理、美術與動畫設計、各國業務開發等等。 在這裡你能發揮自己的影響力，只要你主動積極、願意挑戰自己，想透過科技創造價值，歡迎加入我們！