4 дня назад
Software Engineer (AI Applications)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI Applications) (Python/Flask, Generative AI): Building scalable full-stack applications and intelligent assistants for semiconductor manufacturing with an accent on backend services, frontend frameworks, manufacturing data integration, and AI capabilities. Focus on developing RAG and agent-based workflows, connecting enterprise systems, and ensuring reliable delivery through testing, CI/CD, cybersecurity, and Responsible AI practices.
Location: Singapore
Company
develops semiconductor manufacturing technologies and digital manufacturing solutions.
What you will do
- Design, develop, test, deploy, and maintain full-stack software applications.
- Build backend services with Python, Flask, REST APIs, and relational databases.
- Develop responsive frontend applications with Angular, React, Vue, or similar frameworks.
- Integrate manufacturing data, databases, dashboards, APIs, and enterprise systems.
- Develop reusable software components, services, and workflows.
- Support AI-powered capabilities including RAG, AI assistants, and agent-based workflows.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electrical and Electronic Engineering with Data Science, or a related field.
- Experience with Python and Flask for backend development.
- Experience with JavaScript or TypeScript and a modern frontend framework such as Angular, React, or Vue.
- Experience with SQL, relational databases, structured data, and REST APIs.
- Familiarity with cloud technologies and modern software development practices.
- Strong analytical, debugging, and problem-solving skills, with an interest in Generative AI.
Culture & Benefits
- Work in a multicultural, diverse, and inclusive environment.
- Follow software engineering, cybersecurity, data governance, and Responsible AI practices.
- Use Git, CI/CD pipelines, automated testing, code reviews, defect triage, and performance tuning.
- Employment is subject to successful background checks, applicable medical screenings, and local laws.
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