Role & responsibilities
Design and develop Generative AI solutions using Large Language Models (LLMs).
Fine-tune, customize, and optimize foundation models for domain-specific use cases.
Build and deploy NLP and conversational AI applications such as chatbots, virtual assistants, and document intelligence systems.
Develop RAG (Retrieval Augmented Generation) pipelines using vector databases.
Work with AWS SageMaker for model training, deployment, monitoring, and MLOps workflows.
Implement prompt engineering strategies to improve model performance and output quality.
Evaluate and optimize model accuracy, latency, scalability, and cost.
Integrate AI services with enterprise applications through APIs and microservices.
Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.
Stay updated with advancements in Generative AI, LLMs, and emerging AI technologies.