Senior AI Engineer

📋 Description

• Develop an understanding of Grab's Financial Services and Banking data and its nuances across
• Deploy enterprise-grade agentic solutions that power the next generation of customer experiences.
• Develop AI solutions for use cases such as representation learning, conversational AI and agentic
• Fine-tune and adapt LLMs using techniques such as supervised fine-tuning, instruction tuning, LoRa
• Build transformer-based models from scratch, including foundational models and promoting models
• Manage the complete lifecycle of AI systems from experimentation and evaluation through deployment

🎯 Requirements

• Experience designing and deploying at least one enterprise-grade agentic solution in production
• Hands-on experience with agentic frameworks such as LangGraph, LangSmith, and LangChain
• Understanding of transformer architectures, including attention mechanisms, tokenization
• Expert proficiency in Python, Spark, and SQL (Presto/Hive) with a command of fundamental ML
• Expertise in deploying scalable AI and ML systems using tools such as MLflow, Kubeflow, TFX, or
• Adherence to clean coding, modular system design, testing, APIs, and version control (Git/GitHub).

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex to create a benefits package that suits your needs.
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme to guide and uplift you and your loved ones.