7 дней назад
Intern, Software Engineer (AI/Product Data Management)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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