Total 2 process development engineer job vacancies in Engineering category

Get to Know the Team

The Mobility team is an established team responsible for the Transport module in the Grab app. We improve the core transport booking experience. We are made up of experienced and diversified engineers. If you are looking for an opportunity to make it seamless and effortless for millions of users, then you should join our team!

We are working on high throughput, real-time distributed systems that use algorithms and machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best products and experiences to our passengers to increase adoption, engagement and conversion of our services.

We are a distributed team with members spread across Singapore, China, Vietnam and Malaysia at the moment. Our mode of communication is English, both in spoken and written form. Our team has direct end-user contact, and influence on the bottom line for Grab. You will report to our Software Engineering Manager, and you will based onsite in our KL office.

Get to Know the Role

We are looking for a Senior Site Reliability Engineer to provide better stability and operational excellence for Mobility team in Grab. We believe you have professional sysops/infrastructure knowledge and the ability to build comprehensive systems, but if you believe you have what it takes then we'd love to hear from you either way. This role is required because stability and operational excellence is critical to our services. In return, you will produce impacts to Grab's core systems.

The Critical Tasks You Will Perform

• Provide automated solutions for manual tasks and challenges we're facing.
• Manage cloud infrastructure using Infrastructure as Code solution.
• Get involved in deep diagnosis of incidents, and engage with multiple accomplished engineering teams on resolutions.
• Supporting different teams to make long-term infrastructure decisions, provide suggestions for infrastructure optimizations.
• Drive operational excellence practice and help improve reliability, stability and scalability challenges with engineering teams.
• Lead junior engineers to complete projects and help them grow.
• Mentor other engineers, define our technical culture, and help build a fast-growing team.

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.