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Job Summary You will be responsible for developing, optimizing, and managing the front-end and back-end software, databases, and intelligent AI applications for cooking robots. 您將負責開發、優化並管理炒菜機器人前後端軟件、數據庫及AI智能化應用等。 Job Requirements Education: Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, AI, or related fields. Front-End Development: Proficient in TypeScript and JavaScript; experienced in front-end frameworks like Vue.js and React.js with practical experience in web and mobile development; capable of performance tuning (e.g., image optimization, lazy loading, bundle size optimization). Back-End Development: Familiar with back-end programming languages such as Python and Go; experienced in full-stack (front-end and back-end integrated) development; able to flexibly utilize common software libraries to solve problems. DevOps & Cloud: Familiar with CI/CD, GitHub Actions, and cloud platforms like Azure and AWS; hands-on experience in automated software deployment and operations; capable of building automated pipelines to achieve code building, testing, packaging, and automated multi-environment deployment to improve efficiency and stability. Data & Analytics: Proficient in MySQL and Redis operations; experienced in enterprise ETL development and BI analysis visualization; proficient in MongoDB operations; capable of ingesting and cleaning data from MongoDB and Datadog into Azure Synapse dedicated SQL pools for analysis and visual presentation. AI-Assisted Engineering: Skilled in AI-assisted programming, AI-assisted testing, and AI-assisted troubleshooting/root-cause analysis; possesses practical engineering skills in AI loops. AI & Large Models: Familiar with LLM (Large Language Model) fine-tuning with practical experience in AI Agent development; proven track record of applying LLMs to solve real-world business problems and create business value. Software Architecture: Proficient in using Git and GitHub for standardized software development; strong system software design capabilities (module division, interface design, system integration testing); capable of designing highly scalable and maintainable software. Hardware-Software Integration: Hands-on experience in systematic hardware-software co-debugging; capable of thinking and solving software issues from a comprehensive hardware-software product perspective. 1) 計算機、軟件工程、數據科學、AI等相關專業學士學歷或以上； 2) 熟悉前端編程語言TypeScript 、JavaScript，熟悉前端框架Vue.js、React.js有頁面和移動端的開發實踐經驗，並能進行性能優化 （如圖片優化、懶加載、打包體積優化等） 3) 熟悉後端編程語言，如python，Go，有前後端一體化的開發經驗，能靈活使用常用軟件庫解決問題 4) 熟悉CI/CD, Github Actions, 雲平台Azure, AWS，有軟件自動化部署和運維實踐經驗，能搭建自動化流水線，實現代碼構建、測試、打包與多環境自動發佈，提升效率與穩定性 5) 熟悉MySQL和Redis的實操，有企業數據的ETL開發經驗，有企業BI分析的可視化實操經驗；熟悉MongoDB的實操，能將MongoDB和Datadog的數據接入並清洗至Azure Synapse專用SQL池，進行分析和可視化展現 6) 有AI輔助編程，輔助測試，輔助定位分析的技能，掌握一定的AI loop工程技能 7) 熟悉大模型微調，有AI Agent的實操經驗；有應用AI大模型解決企業的實際問題、創造業務價值的經驗 8) 能用Git、GitHub規範軟件開發，有系統軟件的設計能力（模塊劃分、接口設計、系統聯調），設計軟件可擴展性，可維護性強 9) 有軟硬件系統性聯調的實踐經驗，能站在軟硬件產品的綜合維度去思考和解決軟件問題
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.