Lead AI Analytics Engineer

About the role

You will design the middleware architecture that connects Grab's Trust and Safety logic to our real-time Risk Engine. This role focuses on building autonomous agentic workflows to replace manual data analysis in fraud and identity protection.

Key facts

What you'll do

• Design and manage data pipelines for AI, including vector databases, embedding generation, and unstructured data parsing.
• Deploy and maintain multi-agent systems using frameworks like LangChain, LangSmith, and LangGraph.
• Create automated code-level intercepts to prevent destructive AI-generated rules from reaching production.
• Develop secure API wrappers and Model Context Protocol servers for safe agent interaction with the Risk Engine.
• Manage system stability, latency, and token-cost efficiency for internal agent platforms.
• Work with Data Analysts to convert Trust and Safety domain knowledge into machine-readable formats.

Requirements

• Minimum 6 years of experience in backend engineering, data-heavy systems, or applied machine learning.
• Bachelor degree or higher in Software Engineering, Computer Science, Data Engineering, Analytics, or a related quantitative field.
• Proficiency in Python, backend architecture, and secure API development.
• Knowledge of data engineering, including ETL, vectorization, and data pipelines.
• Practical experience deploying and orchestrating LLMs with LangSmith and LangGraph.

Nice to have

• Experience migrating legacy systems into modern AI infrastructure.
• Background in Fraud or Trust and Safety domains.

Skills & tools

• Python
• LangChain
• LangSmith
• LangGraph
• Vector Databases
• ETL Pipelines
• API Development
• Model Context Protocol (MCP)
• Asyncio

Practical notes

• Benefits include Term Life Insurance, comprehensive Medical Insurance, and GrabFlex for personalized packages.
• Leave policies cover Parental, Birthday, and Love-all-Serve-all (LASA) volunteering time.
• Access to the Grabber Assistance Programme for personal support.
• FlexWork arrangements available, including differentiated hours.
• Grab is an equal opportunity employer committed to inclusive hiring practices.