Role Overview
We are seeking a skilled AI/LLM Engineer to join our team. In this role, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
As an AI/LLM Engineer, you will play a crucial role in developing and refining RAG models, ensuring they are searchable and contextually accurate.
* Semantic Chunking: Develop and implement semantic chunking strategies to improve the accuracy of RAG models.
* Evaluation Pipeline: Improve the automated evaluation pipeline to ensure RAG models meet performance standards.
* Model Fine-tuning: Fine-tune Large Language Models (LLMs) for textual RAG use cases.
You will work closely with DevOps to deploy non-prod environments and collaborate on production rollout.