Intern, AI Engineer at Grab in Petaling Jaya, Selangor, Malaysia

companyDescription 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. jobDescription Get to Know the Team You will be joining the Metadata & BI Platforms team within Grab's Data Engineering Platforms department. The team builds and maintains the systems that power Grab's data intelligence: Hubble (data discovery platform), Genchi (data observability platform), Superset and Power BI (business intelligence platforms), and the Data Agent (agentic analytics platform). We work at the intersection of data engineering and AI, building systems that help thousands of internal users across Grab discover, understand, and act on data. The team is passionate about applying the latest AI advances to make data more accessible, intelligent, and useful at scale. Get to Know the Role As an AI Engineer Intern, you will contribute to building and improving AI-powered data platforms that make data discovery, observability, and analytics smarter and more intuitive at Grab. You will get hands-on experience building production-grade systems — from LLM integrations and agentic workflows to vector search pipelines — alongside engineers who ship AI features at scale. This is a high-impact role where your contributions will be used by real internal users across the company. You will work in a fast-paced, collaborative environment with mentorship from experienced engineers, gaining exposure to the full AI product development lifecycle from design to deployment. The Critical Tasks You Will Perform You will design and implement backend services and APIs that support AI-driven data platform features. You will integrate LLM APIs into platform workflows to enable intelligent automation and natural-language capabilities. You will contribute to building and orchestrating agentic systems (e.g., using LangGraph) for use cases such as data troubleshooting, SQL/code generation, and data Q&A. You will develop and optimize vector search and RAG pipelines to improve data retrieval and semantic understanding. You will debug and resolve performance or reliability issues in complex data systems, working toward production readiness. You will Collaborate with product managers, data engineers, and data analysts to deliver high-impact features. qualifications What Essential Skills You Will Need Candidates who are available to start in August 2026, with 3 to 6 months of commitment Your studies as an Undergraduate in Software Engineering or Computer Science. Strong programming skills in Python, with exposure to Go or Java as a bonus. Understanding of RESTful API design and backend development fundamentals. Experience with LLMs, vector databases, or RAG pipelines — through coursework, projects, or internships. Solid problem-solving skills and ability to debug and reason through complex systems. Good communication and the ability to work effectively in a team. additionalInformation Life at Grab We care about your well-being at Grab, here are some of the benefits we offer our Interns: Attractive Monthly Allowance! EPF (Employees Provident Fund) or SOCSO (Social Security Organization) where applicable. 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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.