Description
Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation. The Integrity team at Grab is dedicated to Trust, Identity, and Safety, safeguarding users and transactions on the platform.
As the Lead Data Engineer, Analytic Platform, you will serve as the critical 'Agentic Middleware' layer for the Integrity team. You will be responsible for architecting the AI data infrastructure and orchestration layers that give AI agents their 'brains' and keep Grab ahead of evolving threats.
Key responsibilities include:
- Architecting the AI data infrastructure, including data ingestion pipelines, vector databases, and embeddings generation
- Orchestrating multi-agent workflows using modern orchestration frameworks
- Building proactive blast-radius controls to block hallucinated or destructive AI-generated SQL/rules
- Developing secure deployment guardrails for AI agents to safely interact with Grab's core Risk Engine
- Optimizing system reliability, latency, and token-cost efficiency
- Collaborating with domain-expert Data Analysts to translate their tacit Trust & Safety knowledge into structured, machine-readable formats
Requirements:
- At least 6 years of experience in data-heavy systems, backend engineering, applied machine learning, or a related field
- A Bachelor's Degree (or higher) in Computer Science, Data Engineering, Analytics, Software Engineering, or related quantitative fields
- Deep technical proficiency in Python, backend system architecture, and building secure APIs
- Strong foundational data engineering expertise
- Hands-on experience deploying and orchestrating LLMs using modern frameworks
- Experience building and transitioning legacy systems into modern AI infrastructures is highly preferred
Grab offers various benefits, including term life insurance, comprehensive medical insurance, GrabFlex, parental and birthday leave, and a confidential Grabber Assistance Programme.