Design, develop, and deploy GenAI models, with a focus on large language models (LLMs) and multimodal systems Build, fine-tune, and optimize AI agents capable of autonomous reasoning, planning, and task execution Develop end-to-end GenAI pipelines, from data ingestion and preprocessing to model serving and monitoring Collaborate with cross-functional teams (engineering, product, data science) to integrate GenAI solutions into real-world applications Implement prompt engineering and retrieval-augmented generation (RAG) strategies to enhance model performance and relevance Ensure solutions meet security, scalability, latency, and ethical AI standards Stay up to date with the latest research and advancements in the generative AI landscape and apply them strategically Provide technical leadership and mentorship to other engineers in the AI/ML and software teams.