AI/LLM Engineer (RAG Models)
We are seeking a skilled AI/LLM Engineer to join our team in building backend features for an existing Retrieval-Augmented Generation (RAG) service. Your primary focus will be on developing and optimizing RAG models for search across large-scale medical and scientific documents, including pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
Key Responsibilities:
* Building and optimizing RAG models for search
* Pre-processing and embedding of large-scale medical and scientific documents
* Developing semantic chunking strategies
* Fine-tuning LLMs for textual RAG use cases
Requirements:
* 1+ years of experience as a Search Engineer or AI Engineer
* Strong communication skills
* Ability to work independently while providing clear updates to the team
Preferred Qualifications:
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Exposure to RAG architectures, specifically textual RAG use cases
This is a heads-down, individual contributor role requiring strong communication and collaboration with the team.