About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

The trainee will join the Metadata & BI Platform Team within the Data Engineering Platforms department. The team manages the data discovery platform (Hubble), data observability platform (Genchi), the BI Platforms (Superset & Power BI) as well as the Data Agent in GrabGPT. The team comprises of 10 engineers based in SG and MY.

Get to Know the Role

This is a 6 months full-time onsite role based in Singapore as part of the GRIT Programme

This traineeship offers fresh graduates an exciting opportunity to delve into the dynamic field of data engineering and artificial intelligence (AI). Trainees will work in a collaborative and innovative environment, gaining hands-on experience in designing, implementing, and managing AI-driven data platforms that power Grab's data-driven operations.

The program provides exposure to real-world challenges in big data engineering and AI integration, working alongside a world-class engineering team managing petabytes of data across Southeast Asia. Trainees will have the opportunity to learn cutting-edge tools and technologies, fostering continuous innovation and accelerating their growth in technical expertise.

The Critical Tasks You Will Perform

During the traineeship, trainees will play an active role in building and optimizing AI-driven data platforms. They will gain hands-on experience in the following areas:

• Designing and implementing RESTful APIs and efficient backend systems to support data platforms.
• Identifying, debugging, and resolving issues within big data platforms to ensure data quality and integrity.
• Writing unit, functional, and end-to-end tests to ensure the reliability and robustness of systems.
• Incorporating LLM APIs into platform workflows for intelligent automation and enhanced user experiences.
• Building and orchestrating agentic systems using frameworks like LangGraph for applications such as data issue troubleshooting, code generation, and business question answering.
• Designing and optimizing vector search and Retrieval-Augmented Generation (RAG) pipelines to support embedding-based retrieval and advanced data insights.

What Essential Skills You Will Need

• A strong passion for data and AI, with a hunger to learn and grow in the field
• At least one prior internship experience in software development
• Solid programming skills in at least one of the following languages: Python, Java, or Go
• Advantageous if you have experience working with Generative AI technologies (prompt engineering, RAG, reranker, etc.)

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer our Interns:

• Comprehensive Medical Insurance: We got you covered with medical insurance plans.
• Leave Entitlement: Enjoy a range of leave options including Annual Leave, Medical Leave, and Hospitalization Leave.
• Flexible Work Arrangements: Benefit from a flexible work schedule that allows you to balance your academic commitments and personal life.
• Community Involvement: Get involved in community service through Love-all-Serve-all (LASA) programs.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique