Job Description

: Lead research and development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real-world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine-tune domain-specific LLMs to optimize performance, using techniques like prompt engineering, adapter-based tuning, or low-rank adaptation. Architect and implement scalable knowledge graph solutions to enhance reasoning capabilities in AI systems. Drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Collaborate with cross-functional teams to prototype, test, and deploy solutions in production environments, both on-premise and in the cloud. Mentor and guide junior researchers and engineers to foster innovation and ensure high-quality deliverables. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting-edge research to solve real-world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders.