Grab
Ai Engineer
Overview
Develop an understanding of Financial Services businesses across regional markets to build scalable AI solutions. Main focus areas include payment optimization, agent-native operations, and customer-facing conversational AI.
About Grab
GrabFin is an aggregate of FinTech businesses spread across 6 countries in South East Asia, in the Payments, Lending and Insurance domains. We station our engineering teams in Bangalore, Singapore, Indonesia and Vietnam.
Requirements & Eligibility
- Individual contributor role with 5+ years of experience expected.
Key Responsibilities
- Develop an understanding of Financial Services businesses across regional markets to build scalable AI solutions.
- Leverage advanced LLMs to power the next generation of payment experiences.
- Manage the entire end-to-end lifecycle of predictive models and AI agents, from development to deployment and optimization.
- Work with engineering, compliance & operation teams to create solutions and product changes informed by your findings and business inputs.
- Stay current with the latest AI/LLM research and new frameworks and incorporate them into practical applications.
- Build predictive models using machine learning to solve for classification, ranking and online learning.
- Design and deploy Generative AI solutions using prompt engineering, agent orchestration, and model fine-tuning (e.g., LoRA, PEFT).
- Build end-to-end MLOps pipelines to automate model training, deployment, and monitoring.
Interview Process
Step 1: Apply. Step 2: Getting to know you (video or phone interview with a recruiter). Step 3: Testing, testing… 123 (assessments and/or a technical competency interview). Step 4: Is it a culture match?
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