Job PostingOur organization is seeking a skilled AI/LLM Engineer to join its team. The primary focus will be on developing and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.Key Responsibilities:Semantic chunking strategiesImproving the automated evaluation pipelineFine-tuning LLMs for textual RAG use casesRequired Skills and Qualifications:At least 1 year of experience as a Search Engineer or AI EngineerProficiency in OpenSearch, with expertise in building scalable search systemsExtensive Python development experience, including API creation, model training, testing, and backend programmingFamiliarity with LangChain for building LLM workflows using tools, memory, and retrievalBenefits and Advantages:Exposure to AWS infrastructure, with opportunities to work with IAM, VPC, S3, etc.Experience with RAG architectures, particularly textual RAG use cases