Software Engineer

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

1. Education: Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, AI, or related fields.
2. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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