 
        
        Job Overview:
 * We are seeking a talented expert to lead the development of our Retrieval-Augmented Generation (RAG) service.
Key Responsibilities:
 * Design and optimize RAG models for search across large-scale medical and scientific documents
 * Prepare and embed over half a billion documents to ensure they are searchable and contextually accurate
 * Semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning Large Language Models for textual RAG use cases
Requirements:
 * 1+ years of experience as a Search Engineer or AI Engineer with a strong background in machine learning and natural language processing
 * Familiarity with OpenSearch, building scalable search systems, and expertise in Python programming
 * Proficiency in LangChain for building LLM workflows using tools, memory, and retrieval
The ideal candidate will have a passion for innovation, excellent problem-solving skills, and a proven track record of delivering high-quality results under tight deadlines.