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.