Senior AI Engineer

Core Responsibilities

• Research, evaluate , and adopt appropriate foundational models for the chatbot, in consideration of performance, cost, and enterprise requirements.
• Document model architectures, algorithms, and development processes for team collaboration and future reference.
• Develop and implement techniques such as prompt engineering, in-context learning, supervised fine-tuning, reasoning, and agentic frameworks to improve the LLMs performance for data query generation and contextual response.
• Develop the end-to-end model development pipelines, integrating with the data warehouse and other relevant front/back-end systems through collaboration with data/software/platform engineers.
• Establish fact-grounding and model evaluation frameworks, metrics (component and execution accuracies), benchmark dataset (Spider, In-House datasets , etc ) to ensure the system accuracy, reliability, and ability to handle diverse user queries and edge cases.
• Stay updated on the latest advancements in LLMs and GenAI, exploring innovative approaches to enhance the chatbot capabilities and user experience.