Senior AI Engineer
Grab (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy enterprise-grade agentic AI solutions and transformer-based models for Financial Services using large-scale transactional data.
- Own the full AI system lifecycle including experimentation, evaluation, deployment, monitoring, and maintenance.
- Collaborate with cross-functional teams to build reliable, secure, and scalable AI solutions tailored to customer and business needs.
Minimum Requirements
- 5+ years of relevant experience in AI engineering with production deployment of agentic AI solutions.
- Proficiency in Python, Spark, SQL (Presto/Hive) and core ML concepts such as Bagging, Boosting, and Recommendation Engines.
- Strong understanding and hands-on experience building transformer architectures and fine-tuning LLMs using techniques like supervised fine-tuning, instruction tuning, LoRA, and PEFT.
- Experience in AI/ML productionization using tools like MLflow, Kubeflow, TFX, or SageMaker including model serving, monitoring, and cloud infrastructure management.
Ideal Candidate Profile
- Has delivered at least one production-grade enterprise agentic AI solution involving tool integration, orchestration, memory management, and observability.
- Skilled in training transformer and foundational models from scratch using large-scale transactional and behavioural datasets.
- Experienced in operating independently within a flat team structure, balancing technical quality with production constraints such as latency, cost, and reliability.