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6 дней назад

Intern, Software Development Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Intern, Software Development Engineer (AI) (Java/Python, GraphQL): Developing, maintaining, and operating the File System Service with an accent on API capabilities, Specification Driven Development, and agentic AI workflows. Focus on building production-relevant backend features, solving operational problems, fixing bugs, reducing technical debt, and improving service reliability.

Location: Singapore, SGP; on-site in-person recruitment drive from 9 October to 6 November 2026

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, vehicles, and media.

What you will do

  • Develop and enhance the File System Service alongside the engineering team, including API-related features.
  • Maintain service reliability through bug fixing, technical debt reduction, validation, verification, and operational support.
  • Apply Specification Driven Development to implement and verify software changes.
  • Develop and apply agentic AI workflows to automate engineering tasks, solve operational problems, and improve efficiency.
  • Collaborate with engineers to deliver production-relevant capabilities and strengthen engineering practices.

Requirements

  • Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, with graduation expected in 2027 or 2028.
  • Strong programming skills, preferably in Java and/or Python.
  • Strong written and verbal communication skills in English.
  • Available for a six-month full-time internship from 11 January to 25 June 2027.
  • Available to work on-site in Singapore.

Nice to have

  • Strong problem-solving skills and the ability to work with complex software systems.
  • Experience working in a dynamic and collaborative environment.
  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Experience with SQL and/or NoSQL data stores.

Culture & Benefits

  • Hands-on experience developing, maintaining, and operating a production-relevant backend service.
  • Experience working on real product features, maintenance work, and operational challenges.
  • Practical application of Specification Driven Development and agentic AI workflows.
  • Exposure to feature development, bug fixing, technical debt reduction, validation, verification, and service operations.
  • In-person onboarding and/or identity verification may be required.

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