Generative AI Engineer

Key Responsibilities:

1. Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques.
2. Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy.
3. Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases.
4. Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems.
5. Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition.
6. Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring.
7. Write clean, efficient, and well-documented code, primarily in Python.
8. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features.
   1. Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions.