Key Skills and Qualifications: The ideal candidate will have a strong understanding of large language models and their underlying principles, including transformer architecture and attention mechanisms. Additionally, they should have proven experience in building AI agents with Retrieval-Augmented Generation to enhance model performance using external data sources. Responsibilities: • Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search. • Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses.
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