Senior AI Engineer
Grab (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and manage end-to-end predictive models and AI agents focused on payment optimization, agent-native operations, and conversational AI within financial services.
- Leverage and integrate advanced Large Language Models (LLMs) and generative AI for next-gen payment experiences including prompt engineering and fine-tuning.
- Collaborate with engineering, compliance, and operations teams to deploy and optimize scalable AI/ML solutions across regional markets.
Minimum Requirements
- 5+ years of relevant experience in data science or ML engineering roles.
- Expertise in Python, Spark, SQL (Presto/Hive), and core machine learning concepts including Bagging, Boosting, Online Learning, and Recommendation Engines.
- Hands-on experience with agentic frameworks such as LangGraph, LangSmith, or LangChain and LLM orchestration.
- Experience in MLOps using tools like MLflow, Kubeflow, SageMaker, including production deployment and cloud platform scalability.
Ideal Candidate Profile
- Strong background in financial services AI use cases, particularly payments, lending, or insurance domains across Southeast Asia markets.
- Demonstrated ability to independently own AI/ML solutions lifecycle from design through production in a collaborative tech and business environment.
- Operates well in relatively flat teams focusing on complex ML problems involving batch, real-time, and generative AI workloads.