Cake 找工作

開發與維護 AI 醫療相關系統與服務 開發 RESTful API 與前端工程師合作

關於隨想 精誠隨想集結了一群有熱情、有想法、有衝勁的年輕人，共同在行動產業創造最具未來性和多元化需求的行動應用軟體。我們曾為許多不同行業類別的知名企業，設計規劃各種不同用途的行動應用，並持續發展AI、AR、Biometric的應用，讓App不再只是App，而是更聰明更有溫度的App。目前尋找App人才，歡迎喜歡挑戰的妳/你加入。 隨想官網：http://www.softmobile.com.tw/ 工作內容 1.系統程式開發 2.協助專案及產品開發流程，包含系統分析與設計、系統開發、技術教育訓練 3.熱愛寫程式，對程式品質要求嚴謹 4.具備良好之溝通、團隊合作之能力

【About LIGHT SEEKER Program】★ Internship Period:2026/06/29~2026/08/31★ Application Deadline:2024/04/01★ Salary: NTD $45,000/ monthLIGHT SEEKER is LITEON Technology's all-English summer internship program.Join us, you'll have the chance to connect with interns from around the world, and through departmental internships, you'll deeply explore LITEON, discover your true self, identify what you truly value, and even have the opportunity to secure a pre-offer!Wanna know more about LIGHT SEEKER Check it out▸Mandarin version: https://vocus.cc/article/6756af95fd897800019ca395▸English version: https://vocus.cc/article/6756af6efd897800019c9fab★ Program Introduction Streamlined Video | Online (2026/03/20)【Position】 【LIGHT SEEKER Intern】IT Intern_Information Security Information Technology【Location】 Taipei Neihu【Project Name】 Assist with Copilot training and promotion【Department Introduction】Evaluate, implement, optimize, and manage M365-related services.Evaluate, implement, optimize, and manage security-related services.Provide multi-cloud AI tool applications, product technical support, and training.Support internal and external audit processes to ensure compliance and security. 【Goal】Operation Efficiency 【Project Content】1. Participated in the Pilot Z Global Power Program / Ming Chuan University Industry–Academia Collaboration Program, focusing on AI applications and hands-on practice.2. Completed AI courses to build practical capabilities for executing projects.3. Served as an IT technical assistant, supporting AI course planning and technical operations for the project.4. Served as an IT technical assistant in the project’s hackathon, observing and evaluating participants’ AI application skills, teamwork, and maturity.5. Completed the project report. 【Milestone】Participated in the Pilot Z Global Power Program / Ming Chuan University Industry–Academia Collaboration Program, focusing on AI applications and hands-on practice, 2026/07~ 2026/08 【Deliverables】1. Participated in and supported the following training courses:M365 Copilot (2 days)Copilot Studio (1 day)GitHub Copilot (2 days)AI-900 Certification Training (1.5 days)PL-300 Certification Training (3.5 days)2. Supported the AI project hackathon, serving as an AI technical assistant during a three-day intensive training. 【Tool Used】Microsoft CopilotGitHub CopilotCopilot Studio

[About Us 醫療X科技] 慧康生活科技 Health2Sync 成立於 2013 年，旗下擁有「智抗糖 App」與「雲端智慧照護平台」兩大產品，是同時具有B2B2C的數位新創團隊。 主打產品「智抗糖App」為亞洲最大慢性病管理平台，提供個人化並可複製的慢性病管理方案，建立新一代的數位療法，這套數位醫療解決方案在全球累計已有超過百萬名使用者。 我們的服務結合簡易操作的數位工具與個人化及自動化的即時分析，串連慢性病友的關懷照護網路與生活數據，協助糖友透過 App 自我管理血糖，並讓家人與醫療單位透過「雲端照護平台」更即時瞭解狀況並提供關懷。透過這套解決方案，我們積極串起糖尿病照護生態圈，連結藥廠與病患，讓藥廠提供個人化的衛教及介入 (engagement)，進而提升用藥的依從度，讓病患能有較好控制效果。 [About Our Team] Web團隊主要負責雲端相關服務，範圍包含前端、後端以及維運這三個部分。在產品需求與功能部分，我們除了專注在系統服務上的設計和開發，我們也需要跟其他團隊像是App、設計、專案等團隊有著更透明的溝通與討論，以利我們能夠開發出更穩定、更有效率的產品，也能因應產品需求有著更有彈性更有效率的調整。 想要尋找認同我們的產品且對健康醫療領域擁有熱忱的夥伴，能抱持著開放的心態去面對一切挑戰，歡迎熟悉後端系統相關的設計與開發、對於交付的任務負責、追求持續進步與學習並且追求透明化溝通的你/妳，讓我們共同能將產品做得更穩定且能夠幫助更多人管理自身健康！ [Job Description] - 開發、維護並優化後端功能與伺服器架構-和App團隊以及前端團隊一起設計服務框架-持續學習新知，勇於嘗試，增進工作流程與效率

Company Introduction: Berry AI is dedicated to applying Computer Vision in the fast-food industry. Our recently developed products focus on helping US fast-food businesses improve their Speed of Service. We provide clients with an AI-based Drive-Thru Timer System and an in-store Customer Journey tracking system. These tools help clients understand situations, identify problems, and improve existing processes through real-time human-machine interaction and post-event data analysis. We are looking for passionate partners to join us in building stable and efficient services that can handle rapid growth. Our Core Technologies: Computer Vision: Berry AI has accumulated extensive experience in applying Computer Vision in Quick Service Restaurant (QSR) environments. We have proven methods for camera selection, finding installation locations and angles, calibration, streaming, and image tuning to meet customer needs.Edge AI: Berry AI deploys industrial computers at customer sites for real-time AI computation and result presentation. We have significant experience in optimizing AI and software to ensure complex computations can be executed stably on industrial computers.ML Learning Pipelines: Berry AI has accumulated a large customer base in the US. We have automated pipelines covering Data Collection, Model Training/Evaluation, and Model Deployment. We also have automated monitoring mechanisms to detect model performance in the Production environment and trigger model improvement processes.Hybrid Cloud Architecture: Berry AI uses AWS services to process Edge AI computation results and provides customers with useful and in-depth business insights through bidirectional integration of cloud and on-premises systems. Technical Challenges You'll Encounter Joining Us: "How to make AI more accurate?" Our AI must be able to handle indoor and outdoor scenes and changes in customer behavior patterns. We need to reduce monitoring and AI revision costs to continuously improve scalability."How to optimize edge computing devices that run both AI and complex software?" Considerations include resource management of CPU/Memory/GPU/SSD, software collaboration, and handling issues encountered by physical industrial computers in customer environments, such as CPU downclocking and increased CPU usage due to overheated kitchen environments."How to monitor and manage remote machine status?" Since customer sites are not public clouds or managed data centers, machine connectivity is affected by many factors, such as firewall vendors, physical lines, power systems, and hardware issues with the machines themselves. In addition to actively implementing observability improvements, we want to improve deployment processes and machine status control."How to quickly develop features to support business development?" Balancing rapid delivery that accumulates technical debt and investing in long-term architecture is a common issue for most startups, including us. Job Responsibilities: Our current products provide customers with a hybrid solution of AIoT and Cloud and require integration with third-party hardware and software. We expect the Backend Engineer to perform the following tasks within the Software Team: Collaborate with the front-end team, machine learning team, and business department to understand requirements and implement software development.Build, deploy, maintain, and optimize various cloud and on-premises services.Implement Best Practices to improve engineering development efficiency (e.g., CI/CD, automation, new productivity tools).Collaborate with other teams' Ops to establish more mature remote machine management/monitoring/troubleshooting processes.Provide troubleshooting tools and technical support to assist domestic and international Customer Success teams, requiring on-call shifts. Due to the high complexity of the company's system architecture, we are looking for candidates who: Are familiar with Python-related packages and system programming (Linux).Have experience using AWS cloud services, are proficient and can use industry Best Practices to build network architectures and communication protocols.Are familiar with backend development technologies, such as Web services, databases, automated testing, and concurrent programming.e.g., FastAPI, Django, PostgreSQL, MongoDB, RedisHave experience in planning and building Data Pipelines and Job Queues.e.g., DBT or CeleryAre familiar with containerization technologies.e.g., Docker, KubernetesAre open-minded and willing to engage in various idea discussions and technical sharing.Have good communication skills in both Chinese and English. Bonus Points: Have served as a DevOps/Infra/SRE Engineer and built infrastructure services that are used by other teams.Have experience in developing and maintaining smart cameras or IoT solutions.Have basic ML/CV concepts or product development and maintenance experience.Are familiar with TypeScript/C/C++/Golang/Rust.Have contributed to open-source projects or have experience in public technical speaking.

協助專案經理，完成業務及產品需求。根據產品需求設計規劃資料庫與系統環境、和撰寫系統、介面。對即有服務 API 介面，提出效能優化方案。對即有負責的產品技術架構升級。協助開發團隊導入新技術。協助開發團隊 Code Review 及開發問題。

【Responsibilities】 設計、構建和維護可靠的數據管道，以自動化數據收集、處理和存儲過程 使用 Python 進行數據清洗、轉換和聚合，以支持數據分析和報告 優化數據架構和數據庫設計，以提高數據處理的效率和規模 實施數據質量控制和監控措施，以確保數據的準確性和完整性 探索和評估新技術和工具，以改善數據分析和模型開發的工作流程 與跨職能團隊合作，包括資料科學家、商業分析師和工程師，了解數據需求，提供滿足業務目標的解決方案。

Restful API 開發與維護。功能性開發 / 測試程式開發與效能優化。主動針對開發中技術難點提出解決方案。產品技術升級 。學習新技術與分享知識。編寫開發文檔、技術資料等。細心、積極、思考邏輯清晰。

*Job Overview We are seeking a backend engineer to build AI-powered legal automation services. You’ll be responsible for developing stable, secure, and scalable backend systems, supporting features like smart document parsing. *Responsibilities 1) Design and implement backend APIs and microservices. 2) Integrate NLP models and databases to process legal documents. 3) Optimize system performance and automation accuracy. 4) Collaborate with frontend, product teams. 5) Write tests and debug to ensure system stability. 【職位概述】 我們正在尋找一位後端工程師，專注於打造結合人工智慧與法律自動化的服務。此職位將負責開發穩定、安全且可擴展的後端系統，支援智慧文件解析等核心功能。 【工作內容】 1) 設計並實作後端API與微服務架構。 2) 整合 NLP 模型與資料庫以處理法律文件。 3) 優化系統效能與自動化流程準確度。 4) 與前端、產品團隊合作。 5) 撰寫測試與除錯，確保系統穩定性。

【Company Highlights】🫧 AI-driven companydedicated to applying Computer Vision in FB industry🫧Aiming to help businesses enhance operational efficiency, particularly by optimizing service speed🫧 Core Tech: Computer Vision, Edge AI, Machine Learning Pipeline【Responsibilities】與前端、機器學習與業務團隊緊密合作，理解產品需求並進行後端功能開發與整合。 負責雲端及本地服務的架構設計、部署、維護與效能優化。 推動工程效率提升，導入如 CI/CD、自動化流程與生產力工具等最佳實務。 與各部門的運維人員協作，建立穩定且可擴展的遠端系統管理、監控與故障排查流程。 協助國內外技術支援團隊進行故障診斷與排解，需配合 on-call 輪值。