Lead AI Agent Engineer

Get to Know the Team

The Business Platform team at Grab is building the next generation of AI-powered products for our consumers.

We focus on applying large language models and agent technologies to enhance user experiences across Grab's ecosystem.

The team values innovation, fast iteration, and a strong sense of ownership.

Joining us means you'll be part of a group driving Grab's transformation into an AI-driven company.

Get to Know the Role

As a Lead AI Agent Engineer in Consumer AI, you will design and develop intelligent Agent systems that power consumer-facing features and take the ownership and leadership in AI Agent development.

You will work on both AI prototypes and production-grade systems, leveraging Python for model-driven components and Go for backend microservices.

You will collaborate closely with product, design, and platform teams to bring AI capabilities into real-world applications.

You will report to the Head of Engineering and work onsite at Grab Office.

The Critical Tasks You Will Perform

• Design and implement core AI Agent modules, including dialogue orchestration, tool invocation, and memory/state management.
  
  
• Optimize Agent performance with prompt engineering, LangChain, and LangGraph, ensuring reliable and efficient execution.
  
  
• Build and maintain retrieval-augmented generation (RAG) pipelines with vector databases and caching for large-scale deployment.
  
  
• Rapidly prototype and validate new consumer AI features, iterating from concept to proof-of-value.
  
  
• Drive architectural decisions for large-scale Agent systems, ensuring reliability, scalability, and efficient orchestration.
  
  
• Define and implement evaluation benchmarks and automated pipelines to measure Agent performance across accuracy, latency, robustness, and user satisfaction.
  
  
• Work closely with Product Managers and Researchers to validate new consumer AI features and ensure practical business impact.