Intern, Software Development Engineer (AI)

Location: On-site in Singapore, SGP. The internship runs from 11 January to 25 June 2027, with an 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, cars, and films.

What you will do

• Support the design, development, testing, deployment, and operation of cloud-native services, APIs, scripts, and automation tools.
• Develop automation solutions that improve engineering and operational efficiency.
• Prototype AI/ML and Generative AI solutions for engineering and localization use cases.
• Use AI-assisted development tools, LLMs, APIs, and AI agents or workflows for coding, testing, debugging, documentation, and automation.
• Integrate cloud services, APIs, AI capabilities, and automation frameworks.
• Contribute to monitoring, troubleshooting, automated testing, observability, security, resiliency, technical discussions, and documentation.

Requirements

• Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, graduating in 2027 or 2028.
• Foundational knowledge of at least one programming or scripting language, such as Python, Java, or JavaScript.
• Basic understanding of software development concepts and exposure to cloud technologies.
• Interest in AI/ML, Generative AI, cloud computing, and automation.
• Strong analytical, problem-solving, learning, and independent research skills.
• Ability to collaborate effectively in a diverse team environment.

Nice to have

• Experience with Python, Java, JavaScript, Node, or Angular.
• Familiarity with AWS, Lambda, Amazon S3, API Gateway, RDS, DynamoDB, or Snowflake.
• Understanding of LLMs, prompt engineering, embeddings, Retrieval-Augmented Generation, AI agents, or AI-assisted development tools.
• Experience with Docker, CI/CD, Git, infrastructure automation, monitoring, or DevOps practices.

Culture & Benefits

• Hands-on experience developing secure, scalable, and resilient cloud-native solutions.
• Practical learning in Generative AI, LLMs, AI agents, responsible AI, automation, and cloud engineering.
• Experience with AWS, Lambda, Docker, APIs, databases, monitoring, security, and automation frameworks.
• Opportunities to experiment with emerging technologies through prototypes and proof-of-concept projects.
• Collaboration with experienced engineers in a multicultural and technically diverse environment.