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7 дней назад

Intern, Software Engineer (AI/Product Data Management)

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 Engineer (AI/Product Data Management): Building reliable, scalable software components, APIs, internal developer tools, and AI-assisted workflows for product data management with an accent on testing, observability, and cross-functional product development. Focus on investigating distributed data flows, improving system quality through logs and metrics, and prototyping intelligent developer tools.

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

Company

hirify.global develops software for design, engineering, manufacturing, construction, media, and entertainment industries.

What you will do

  • Design, implement, test, and document software components, APIs, and internal developer tools with guidance.
  • Collaborate with software engineers, product managers, designers, and AI practitioners to translate product needs into technical requirements.
  • Investigate issues across services, data flows, dependencies, and user experiences.
  • Write maintainable code with unit, integration, and end-to-end tests, and participate in code reviews and Agile ceremonies.
  • Use logs, metrics, dashboards, and user feedback to evaluate system behavior and improve product quality.
  • Contribute to prototypes and experiments involving AI-assisted workflows, data products, and intelligent developer tools.

Requirements

  • Currently enrolled in a Bachelor’s degree program in Computer Science, Computer Engineering, or a related field, with expected graduation in 2027 or 2028.
  • Proficiency in one or more of Python, TypeScript, JavaScript, Java, C++, C#, or Go.
  • Understanding of data structures, algorithms, object-oriented or functional programming, and software design.
  • Experience building, testing, or debugging software through coursework, projects, research, hackathons, open source, self-directed learning, or internships.
  • Familiarity with version control concepts and willingness to learn team-based development with Git.
  • Strong problem-solving, communication, collaboration, and learning skills.

Nice to have

  • Interest or exposure to cloud services, distributed systems, APIs, databases, data pipelines, or event-driven architectures.
  • Familiarity with SQL, data modeling, analytics tools, or data quality practices.
  • Interest in automated testing, code quality, and continuous integration and delivery.
  • Curiosity about machine learning, generative AI, large language models, retrieval systems, agents, or AI application development.
  • Interest in CAD, manufacturing, product design, or developer platforms.

Culture & Benefits

  • Learn how cloud-connected data platforms support complex product experiences.
  • Gain exposure to how production software is designed, reviewed, tested, deployed, monitored, and improved.
  • Learn how teams define requirements and evaluate quality for AI-enabled products.
  • Develop practical understanding of balancing user needs, technical constraints, system reliability, and delivery speed.
  • Collaborate across product, design, data, and research disciplines.
  • In-person onboarding and/or identity verification may be required.

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