Our team is focused on building a Retrieval-Augmented Generation (RAG) service that requires an AI/ML Engineer to design and optimize RAG models for search across large-scale medical and scientific documents.
The ideal candidate will have experience with Search Technology, specifically OpenSearch, and Python development, including API creation, model training, testing, and general backend programming.
This role involves:
* Developing scalable search systems
* Designing and optimizing RAG models
* Improving the automated evaluation pipeline
* Fine-tuning LLMs for textual RAG use cases
This is a challenging, individual contributor role that requires strong communication and collaboration with the team. If you're passionate about artificial intelligence and eager to work on complex projects, we encourage you to apply.