Intern, Software Engineer - Backend

About the role

Grabber Technology Solutions (GTS) builds technology and services for Grab's teams, developing applications, integrations and workflows for areas such as IT service management, service operations, knowledge management, telemetry and endpoint lifecycle processes. As a Backend Software Engineer Intern, you will work with experienced engineers to improve internal applications, services, integrations and AI-enabled workflows, contributing across the software development lifecycle from prototyping and testing to deployment and monitoring. This is a full-time, onsite internship at Grab One North, Singapore, running from January to May/June 2027, reporting to the Senior Manager of GTS.

Key responsibilities

• Design, prototype and develop internal applications, services, integrations and workflow automations for areas such as IT service management and service operations.
• Build AI-enabled workflows combining language models, prompts, retrieval, tools, APIs, structured data and human approval controls.
• Integrate solutions with enterprise systems such as IT service platforms, telemetry sources, knowledge repositories and internal APIs.
• Write readable, modular and tested code, take part in code reviews and maintain technical documentation with secure development and data-handling practices.
• Evaluate AI solutions for correctness, relevance, reliability, safety, latency and operational impact.
• Support deployment, monitoring and incident investigation by reviewing logs, metrics and traces, and use internal user feedback to improve solutions.
• Use approved GenAI tools to support coding, research, documentation or testing, and review their outputs before use.

Required profile

• Pursuing a degree, diploma, ITE qualification or equivalent in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence or a related discipline.
• Practical programming experience shown through coursework, projects, internships or equivalent work.
• Understanding of software engineering fundamentals: version control, modular design, debugging and automated testing.
• Experience investigating system behaviour with logs, metrics or traces and documenting findings.
• Experience deploying code to at least one cloud environment such as AWS, Azure or Google Cloud.

Required skills

• Python or another mainstream language.
• APIs, HTTP, JSON, databases and SQL.
• Foundational AI concepts: LLMs, prompting, embeddings, retrieval-augmented generation and model evaluation.
• Experience with AI tools and emerging technologies.

What we offer

• Medical insurance plans.
• Leave entitlements including annual, medical and hospitalization leave.
• Flexible work arrangements to balance academic commitments and personal life.
• Community involvement through Love-all-Serve-all (LASA) programs.