SWAG

Description SWAG is building AI-native product capabilities powered by LLM-based agents and multi-modal intelligence. These systems are not experimental prototypes — they operate in production, interact with real users, and directly impact product experiences and business outcomes. We are looking for a AI Engineer to design, build, and operate AI agent systems that integrate large language models, vision models, internal data platforms, and external tools. You will work closely with Data, Product, and Engineering teams to deliver scalable, reliable, and observable AI systems. Responsibilities 1. Design and implement LLM-based AI agents that support multi-step reasoning, tool / function calling, and contextual decision-making. 2. Build and maintain agent workflows that interact with: Internal data platforms and services External APIs and third-party tools Product events and user signals 3.Integrate computer vision and multi-modal models (vision + language) into agent workflows and product features. 4. Apply vision models for use cases such as content understanding, classification, moderation, or personalization. 5. Own the end-to-end lifecycle of AI systems, including: Prompt and agent versioning Model selection, upgrades, and deprecation Online inference services and deployment 6. Implement LLMOps practices, including: Automated evaluation of LLM outputs Monitoring quality, latency, usage, and cost Identifying and mitigating real-world failure cases 7. Collaborate with Data Engineers to integrate AI systems into existing infrastructure, CI/CD pipelines, and observability platforms. 8. Work closely with Data Scientists, Product Managers, and Software Engineers to translate business requirements into production-ready AI solutions.

此職位以公司日常行政作業為核心，負責文件整理、資料建檔、行政庶務及辦公室相關行政事項，確保行政流程順暢運作。 並將依實際需求協助部分人資相關行政作業，如面試安排與出缺勤資料彙整，配合既定流程完成相關作業。 適合以行政工作為主要發展方向，並希望在實務中接觸人資行政流程者。

我們正在尋找一位 細心、負責、具良好執行力 的行政工讀生，協助支援公司日常行政與辦公室運作。此職位將協助文件整理、資料建檔、庶務行政及會議安排等相關工作，確保行政流程順暢，並與人資及行政團隊密切合作，維持辦公環境與行政運作的穩定性。

身為 Mobile Engineer，你將參與從產品概念到上線的完整開發流程。你將負責開發並維護我們的行動應用程式，並確保程式碼品質與使用者體驗。 工作內容 參與產品的設計、開發、測試與維護，並確保程式碼品質。主要模組有：推拉流、影像處理、藍芽連線、檔案上傳。與產品經理 (PM)、設計師 (Designer) 及其他工程師 (RD) 緊密溝通與協作。撰寫高可讀性、低耦合度且易於維護的高品質程式碼。參與程式碼審查 (Code Review)，與團隊成員共同學習、共同成長。持續優化現有系統的效能與穩定性。

Responsibilities Hands-on Development: Communicate with relevant stakeholders and develop high-concurrency application features.Optimization Debugging: Optimize code for performance/cost and debug complex issues in a timely fashion.Technical Gatekeeping: Oversee the technical output of our external development partners through rigorous code reviews to ensure features are delivered up to spec and maintain high code quality.

職位概述 SWAG Live 是一家全球領先的媒體和娛樂公司，透過網路和應用平台向全球觀眾製作和分發優質成人串流內容。SWAG Live 持續擴大其全球影響力，並正在尋找對測試領域充滿興趣、願意學習且細心負責的全職實習生來協助 QA 團隊進行測試工作。這將是進入軟體測試領域的絕佳機會，適合想轉職/大四以上學生或剛畢業新鮮人（須在台北），歡迎應徵。

SWAG 是全球領先的媒體與娛樂科技公司，致力於提供高品質成人直播與影音串流體驗。我們正快速拓展國際市場，並以數據驅動與技術創新為核心，打造穩定、流暢且具備全球規模的產品體驗。 隨著產品團隊開始導入 Squad Team 運作模式，QA 將更深入參與各專案小隊，從需求討論、測試規劃、版本驗收到上線後觀測，全程協助團隊控管產品品質與上線風險。 我們正在尋找一位具備 2 年以上手動測試經驗、測試觀念扎實、細心且具備產品敏感度的 QA 測試工程師 加入我們。這個角色會是 Squad Team 中重要的品質把關者，需要能夠獨立理解需求、規劃測試範圍、執行測試、回報風險，並與 PM、RD、Designer、CS 等角色密切合作。 如果你喜歡挖問題、重視使用者體驗，並希望未來往自動化測試或 SDET 方向發展，我們也非常歡迎。團隊會提供實務學習與轉型的舞台，讓你逐步接觸 API 測試、自動化測試、Git 與 CI/CD 流程。 你將學到 高流量影音串流產品的完整測試流程與實戰經驗Web、iOS、Android 多平台產品的測試策略與品質控管方式直播、聊天室、金流、會員系統等高風險功能的測試方法API 資料驗證、前後端資料比對與測試觀念跨部門溝通、專案協作與版本風險管理能力Git 概念與開發協作流程Robot Framework、Playwright 等自動化測試框架的入門與實務應用CI/CD 自動化部署與測試流程的基本概念你將負責 負責 Web / App 產品功能測試、回歸測試、探索性測試與跨平台驗證測試核心產品流程，包含登入註冊、直播觀看、聊天室、付費儲值、內容解鎖、異地登入等高風險功能撰寫與維護測試案例、測試計畫、測試報告與 Bug Report協助判斷版本上線風險，提供 QA 測試結果與 Go / No-Go 建議與 PM、RD、Designer、CS 等團隊成員溝通問題、追蹤修復進度與驗證結果透過 Postman 進行 API 基礎驗證，確認資料正確性、參數傳遞與錯誤回應協助改善 QA 流程、測試文件與版本驗收標準參與 Squad Team 專案開發流程，從需求階段開始協助釐清測試重點與潛在風險

At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

前端是個技術迭代非常迅速的領域，同時也是使用者接觸產品的第一線。尤其我們有更新週期非常短的文化，如果你是個能夠習慣環境迅速變遷的人，或是希望你的程式碼常常可以很快被推上線，請務必考慮投出你的履歷！ 工作內容 根據規格獨立開發新功能與除錯跨部門協作及溝通 (PM, Design)產品效能提升調整開發流程及系統架構以加速開發內部程式碼審核指導或帶領初級工程師進行開發

Capable of leading and executing specific projects, ensuring successful and timely delivery.Establish project or feature goals and assess effectiveness. And track responsibilities to ensure tasks are completed on time.Possess competitive analysis skills to understand competitors and the product.Ensure smooth communication and collaboration between development and business teams.Capable of identifying and defining risks, and assisting the supervisor in taking corrective measures to address project risks. Also be able to handle urgent and unexpected events and keep supervisors informed.Collect, analyze data and feedback to drive effective product features and optimizations.Possess competitive analysis skills, understand product positioning and advantages in the market.Plan and manage product roadmaps that align with product positioning and value propositions.Use data-driven approaches for decision-making based on data analysis.Establish effective learning pathways for junior PM.