Lead Data Engineer, Analytic Platform

📋 Description

• Architect AI Data Infrastructure: Build and optimize data ingestion pipelines behind our AI
• Orchestrate Multi-Agent Workflows: Design, deploy, and maintain end-to-end multi-agent systems
• Build Proactive Blast-Radius Controls: Implement automated, code-level intercepts to block
• Develop Secure Deployment Guardrails: Build MCP servers and restricted API wrappers that safely
• Optimize System Reliability: Own stability, latency optimization, and token-cost efficiency of
• Collaborate as a Systems Fusion Expert: Partner with data analysts to translate Trust & Safety

🎯 Requirements

• At least 6 years of experience in data-heavy systems, backend engineering, ML, or related field.
• Bachelor's Degree (or higher) in CS, Data Eng, Analytics, Software Eng, or related fields.
• Deep technical proficiency in Python, backend architecture, and building secure APIs.
• Strong data engineering fundamentals: data structures, pipelines, ETL, vectorization, embeddings.
• Hands-on experience deploying and orchestrating LLMs using LangSmith and LangGraph.
• Experience modernizing legacy, pre-LLM systems into AI infrastructures is a plus.

🎁 Benefits

• Term Life Insurance and Medical Insurance
• GrabFlex benefits package to tailor your plan
• Parental and Birthday leave, LASA volunteering leave
• Grabber Assistance Programme for life challenges
• Flexible working arrangements with differentiated hours