Lead AI Agent Engineer
5 days ago
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.
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