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