Job Description
We are seeking a seasoned Artificial Intelligence Engineer to join our team in building and optimizing retrieval-augmented generation (RAG) models for large-scale medical and scientific documents.
The successful candidate will work on semantic chunking strategies, improving automated evaluation pipelines, and fine-tuning large language models (LLMs) for textual RAG use cases.
This is a heads-down, individual contributor role that requires strong communication and collaboration skills with the team.