Lead AI Analytics Engineer, Trust & Safety
Core
Architect the AI data infrastructure and orchestrate multi-agent workflows to connect Trust & Safety business logic to Grab's real-time Risk Engine.
Role type
Senior IC AI Analytics Engineer (Agentic Middleware)
Builds
Data pipelines, vector databases, multi-agent orchestration frameworks, and secure deployment guardrails for autonomous risk detection systems.
Domain
Trust & Safety / Fraud prevention in the Southeast Asian superapp industry
Deliverable
production ML models
Required skills
Python, backend system architecture, secure API development, data engineering (ETL, pipelines, vectorization), LLM orchestration (LangChain, LangGraph, LangSmith), legacy system modernization
Preferred skills
Trust & Safety domain knowledge, transitioning pre-LLM systems to AI infrastructure
Technologies
Python, LangChain, LangSmith, LangGraph, vector databases, AST parsers, MCP servers
Responsibilities
Architect AI data ingestion pipelines and optimize vector databases; Design and deploy multi-agent systems for risk detection; Implement code-level intercepts to block hallucinated AI outputs; Build secure API wrappers for AI agent interaction; Optimize system latency and token-cost efficiency; Translate domain knowledge into structured machine-readable formats
Seniority
Senior, hands-on IC