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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。

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為後端工程師，您將與創辦團隊及產品、AI 核心成員緊密協作，負責開發、實作並維護產品的後端服務與 API。我們是非常早期的團隊，您將直接參與真實 production 系統的建置與決策，從一開始就擁有自己負責的模組，並在快速迭代中累積系統設計、大數據與 AI 代理整合的實戰經驗。我們以實作能力與學習速度為主要評斷標準，不以年資數字設限。 【主要職責】 後端服務開發： 使用 Node.js 與 TypeScript 開發高效、穩定的後端服務與功能模組。撰寫具備高可讀性、高維護性的程式碼，穩健支撐持續增長的業務邏輯與資料處理需求。 API 設計與前後端協作： 設計並實作高效的 RESTful API，與前端工程師密切協作，確保系統功能無縫對接，並逐步參與與企業客戶內部系統及第三方工具的資料對接。 資料庫操作與效能優化： 負責 MongoDB 資料庫的結構設計與資料存取（使用 Mongoose），進行索引優化與慢查詢排查，確保資料讀寫的正確性與效能。 大數據與 AI 整合協作（核心成長方向）： 作為應用程式層與底層資料服務的橋樑，協助開發後端服務與 API，將前沿的 AI 代理技術整合進產品中——包含 RAG（檢索增強生成）檢索、向量資料庫，以及與 Hadoop、Apache Iceberg、Apache Spark 等大數據生態系的介接。 程式碼品質與效能突破： 撰寫單元測試 (Unit Testing)、積極參與程式碼審查 (Code Review)，定位並協助解決系統瓶頸與非同步阻塞，確保服務的高可用性與擴展性。 地端部署與容器化協作： 與 DevOps 團隊配合，了解應用程式的容器化配置 (Docker) 與地端部署流程，逐步熟悉封閉網路 (Air-gapped) 環境下的交付與橫向擴展實務。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation to formulate and reason through hypotheses, while automatically retrieving papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins and purpose-built for on-premise, air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—join us in defining the next generation of RD standards. As a Backend Engineer, you'll work with the founding team and core product and AI members to develop and maintain the backend services and APIs powering our product. As a very early-stage team, you'll build and own real production modules from day one, gaining hands-on experience in system design, big data, and AI agent integration through rapid iteration. We evaluate on hands-on ability and learning speed—not years of experience. 【Key Responsibilities】 Backend Service Development: Build high-performance, reliable backend services and modules with Node.js and TypeScript. Write readable, maintainable code that robustly supports growing business logic and data-processing needs. API Design Front-End/Back-End Collaboration: Design and implement efficient RESTful APIs, working closely with front-end engineers for seamless integration, and gradually take on data integration with enterprise customers' internal systems and third-party tools. Database Operations Performance Optimization: Own MongoDB schema design and data access (via Mongoose), optimize indexes, troubleshoot slow queries, and ensure correct, performant reads and writes. Big Data AI Integration (Core Growth Track): Bridge the application layer and underlying data services, helping build backend services and APIs that integrate cutting-edge AI agent tech—including RAG (Retrieval-Augmented Generation), vector databases, and connections to big data ecosystems like Hadoop, Apache Iceberg, and Apache Spark. Code Quality Performance Breakthroughs: Write unit tests, actively join code reviews, and identify and help resolve system bottlenecks and async blocking to ensure high availability and scalability. On-Premise Deployment Containerization: Work with DevOps to learn application containerization (Docker) and on-premise deployment, progressively gaining hands-on familiarity with delivery and horizontal scaling in air-gapped environments.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為前端工程師，您將是把強大但複雜的 AI 研發能力，轉化為使用者真正信賴的產品介面的關鍵推手。我們的使用者是嚴謹、精準的半導體與材料科學家——他們要的不是花俏的介面，而是能可靠呈現海量製程資料、複雜模擬結果與研究洞察，讓他們快速做出決策的工具。隨著 Co-researcher 平台功能擴張，您將負責用 React + TypeScript 開發並擴展多個資料密集的產品介面（內部管理後台、客戶端 Web App、代理工作流介面、報告生成），把工程級的資料密度與一流的使用體驗同時做到位，並與設計團隊共同打造可長期維護的 design system。 【主要職責】 產品介面開發與擴展： 使用 TypeScript + React.js + Next.js（含 App Router、SSR / SSG）開發與擴展多個產品介面，涵蓋內部管理後台、客戶端 Web App、AI 代理工作流介面與報告生成模組，確保高效能與一致的使用體驗。 資料密集介面打造： 開發資料密集的管理後台——大型表格（可達數千列）、複雜的過濾與排序、即時資料更新與串流，將複雜的模擬結果與研究數據以清晰、可操作的方式呈現給工程師使用者。 設計稿高還原與元件化： 與設計團隊定期走查設計稿，把 Figma 設計準確還原為高品質、可維護、可重用的 React 元件，雙向協作完善 design system 與元件規範。 前端效能優化： 針對大量 DOM 與即時資料場景，運用虛擬化（virtualization）、memoization、bundle size 分析與 React Profiler 等手段，持續優化渲染效能並排除潛在瓶頸。 前後端協作與整合： 與後端工程團隊（TypeScript + Node.js + MongoDB）緊密協作，串接 RESTful API，共同定義資料介面契約，確保功能完整且穩定的端到端體驗。 工程品質與可維護性： 撰寫清晰、可測試、可維護的程式碼，建立與維護單元測試（Vitest / Jest / Testing Library），並協助把前端某一產品領域的標準與最佳實踐沉澱下來。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist that fuses Agentic AI, big data, and physics simulation to formulate and reason through hypotheses on its own, while auto-retrieving global academic papers and internal data to accelerate RD. Built on Physics-based Digital Twins for on-premise and air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—come help define the next generation of RD standards. As a Frontend Engineer, you'll turn powerful but complex AI RD capabilities into product interfaces users genuinely trust. Our users are rigorous semiconductor and materials scientists who don't want flashy UI—they want tools that reliably present massive process datasets, complex simulation results, and research insights for fast decisions. As the Co-researcher platform expands, you'll build and scale multiple data-intensive interfaces with React + TypeScript (internal admin consoles, client-facing Web Apps, agent workflow UIs, report generation), pairing engineering-grade data density with a best-in-class experience and partnering with design on a maintainable, long-lived design system. 【Key Responsibilities】 Product interface development and scaling: Build and scale multiple interfaces in TypeScript + React.js + Next.js (App Router, SSR / SSG)—internal admin consoles, client-facing Web Apps, AI agent workflow UIs, and report generation—with high performance and a consistent experience. Building data-intensive interfaces: Develop data-intensive admin consoles—large tables (up to thousands of rows), complex filtering and sorting, real-time updates and streaming—presenting complex simulation results and research data to engineers clearly and actionably. High-fidelity design implementation and componentization: Review designs regularly with the design team, faithfully translate Figma into high-quality, maintainable, reusable React components, and collaborate to refine the design system and component standards. Frontend performance optimization: For large-DOM and real-time scenarios, optimize rendering and remove bottlenecks via virtualization, memoization, bundle size analysis, and the React Profiler. Frontend–backend collaboration and integration: Work closely with the backend team (TypeScript + Node.js + MongoDB), integrate RESTful APIs, jointly define data interface contracts, and ensure a stable end-to-end experience. Engineering quality and maintainability: Write clear, testable, maintainable code, build and maintain unit tests (Vitest / Jest / Testing Library), and help codify standards and best practices for a frontend product domain.

【職務說明】 1. 蒐集及分析商業需求，並提供技術解決⽅案 2. 設計、開發和維護應⽤程式 3. 分析現有系統並提供改進建議 4. 設計和實施新系統解決⽅案，並確保其符合業務需求和標準 5. 協調跨部⾨的⼯作，包括開發⼈員、測試⼈員和項⽬經理等 6. 監督系統測試和實施，以確保系統的穩定性，安全性和可靠性 【技能要求】 1. 熟悉 Java 程式語⾔，具備使⽤Spring boot 開發經驗 2. 熟練 No SQL，EX：Redis、Mongo DB 3. 有使⽤MQ的經驗，EX：Kafka、Rabbit MQ 4. 了解分散式鎖，並且懂得適⽤場景 5. 針對JVM啟動⽅式有優化的經驗 6. 對於⾼併發，⾼流量的系統架構有興趣 7. 使⽤資料庫的經驗 EX：MySQL、SQL Server、Oracle , 對SQL 指令有⼀定了解，並且處理過慢查詢的經驗

此職位將在資深工程師帶領下，協助開發 IoT 系統、參與資料庫升級，並共同分擔 CI/CD 流程與基礎建設的維運。團隊鼓勵使用 AI 工具（如 Cursor、Claude）加速開發，且重視「遇到盲區主動發問、不包裝」的務實溝通文化。主要工作職責：-系統與 API 開發： 使用 NodeJS / TypeScript / Python 進行後端服務與 API 的設計、開發與維護-雲端架構與基礎設施： 規劃與管理雲端基礎設施，建置穩定、高擴展性的雲端架構，深入運用 GCP / AWS 平台服務-資料庫設計與管理： 負責資料庫的架構規劃、效能優化與日常維護，熟練操作 SQL 資料庫與 MongoDB-容器化與微服務： 負責建置、維護與優化 Kubernetes 叢集架構，確保系統具備高可用性與彈性擴展能力-自動化部署： 建立與優化 CI/CD 流程，落實自動化測試與自動化部署，提升開發團隊的交付效率-跨團隊合作： 與軟體、硬體及產品團隊密切合作，確保後端系統能完美支援 AI 功能（如：寶寶口鼻覆蓋偵測、危險區域警示、睡眠分析等）與產品需求並成功整合應徵要求(基本條件)：-1 至 5 年後端開發與基礎維運經驗。-熟悉 NodeJS、TypeScript 或 Python 任一開發語言-具備 MySQL 或 MongoDB 基礎操作經驗-具備基礎的 GCP 或 AWS 雲端操作經驗-理解 DevOps 文化與 CI/CD 觀念，熟悉 Git 版本控管-具備團隊安全感：面對未知領域能主動求助

Mô tả công việcDeveloping and enhancement large scale systems using Java technologies: Collection/Insurance feature, Loan/Saving/Investing feature, Mobile App Platform, Delivery Services. Contribute in all phases of the development lifecycle;Write well designed, testable, efficient code;Ensure designs are in compliance with specifications;Identify bottlenecks and bugs, and devise solutions to these problems;Researching and developing new technologies, focus on mobile payments;Communicate with other Divisions in support production issue and bug fixing;Provide ad hoc support and advocacy to business subject specialists;Application support with a heavy emphasis on problem identification, diagnosis and resolution;Yêu cầu công việcHave Degree in Computer Science or related fields;1.5+ years experience at server-side languages such as Java;Good knowledge of data structures, system design and algorithms;Experience with Spring framework (Spring Bean, Spring AOP, Spring Data, Spring MVC), Spring Boot, Hibernate;Experience with web servers, caching solution such as Redis;Be familiar with RDBMS such as MySQL/PostgreSQL or NoSQL databases such as Cassandra, MongoDB is a plus;Knowledge of multiple front-end languages and libraries such as HTML/ CSS, JavaScript, jQuery;Be familiar with Git.Experience with ReactJS is a plus.

About 元點資訊 我們是一間台灣的 AI / Software Startup，專注於打造多元的 AI 與 Consumer-facing Products，涵蓋 AI 企業解決方案（流程優化與自動化）、教育科技、高互動性 Web 應用、即時交易與會員獎勵系統，以及 Web3 與 Wallet-based 產品體驗（MetaCRM）。 We are a Taiwan-based AI/Software startup building a diverse range of AI and consumer-facing products — spann

Location: Taiwan（Remote） Company: IQronix Inc. About IQronix “Engineering Systems That Ship.” “Bridging the Gap from Reference to Production.” IQronix transforms complex software into production-ready platforms. By bridging the gap between development and launch, IQronix provides 24/7 Managed Engineering Services to accelerate time-to-market. Operating as an extension of internal teams, IQronix delivers validated, scalable systems across OS, connectivity, and AI for global deployment. We are actively seeking a highly adaptable Full Stack Engineer to join us for a 3-month contract to help build and optimize high-impact, scalable technical platforms. This is a 3-month temporary, fully remote position based in Taiwan. Core Tech Stack Capabilities You do not need to be an expert in everything below, but you should be comfortable with most of it and excited to become exceptional across the full stack. Recursive data scraping, clustering, and traceable attributionDocker and cloud infrastructureLLM systems and open-source modelsVector databases and orchestration frameworksMulti-hop reasoning and retrievalAgentic workflows and tool-calling loopsWeb app, browser, and desktop extensionJavaScript, Python, TypeScript, React, Node.js, AWS, Microsoft Azure, CI/CD, Kubernetes, MongoDB

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin. Build and integrate RESTful APIs, gRPC services, and external third-party systems. Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements. Write clean, maintainable, and testable code following SOLID principles and modern best practices. Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse). Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure). Apply best practices for performance tuning, caching, monitoring, logging, and observability. Work closely with AI and data teams to integrate backend services with machine learning and data pipelines. Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field. 3–6+ years of hands-on experience in Java (Kotlin) development for production systems. Strong proficiency in Spring Boot or Vert.x, with understanding of reactive or asynchronous programming. Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ). Solid understanding of OOP, design patterns, concurrency, and memory management.Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.). Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure). Strong problem-solving skills, logical thinking, and a sense of ownership. Good communication and collaboration skills across teams.

Developing and enhancement large scale systems using Java technologies: Collection/Insurance feature, Loan/Saving/Investing feature, Mobile App Platform, Delivery Services. Contribute in all phases of the development lifecycleMô tả công việcWrite well designed, testable, efficient code;Ensure designs are in compliance with specifications;Identify bottlenecks and bugs, and devise solutions to these problems;Researching and developing new technologies, focus on mobile payments;Communicate with other Divisions in support production issue and bug fixing;Provide ad hoc support and advocacy to business subject specialists;Application support with a heavy emphasis on problem identification, diagnosis and resolution;Yêu cầu công việcHave Degree in Computer Science or related fields;1.5+ years experience at server-side languages such as Java;Good knowledge of data structures, system design and algorithms;Experience with Spring framework (Spring Bean, Spring AOP, Spring Data, Spring MVC), Spring Boot, Hibernate;Experience with web servers, caching solution such as Redis;Be familiar with RDBMS such as MySQL/PostgreSQL or NoSQL databases such as Cassandra, MongoDB is a plus;Knowledge of multiple front-end languages and libraries such as HTML/ CSS, JavaScript, jQuery;Be familiar with Git.Experience with ReactJS is a plus.