Job Opportunity:
We are seeking a skilled professional to join our team in building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
About the Role:
The primary focus will be on developing and fine-tuning RAG models, with a strong emphasis on semantic chunking strategies and improving the automated evaluation pipeline.
* Familiarity with LangChain and experience in building LLM workflows using tools, memory, and retrieval is highly desirable.
* Strong communication skills and the ability to work independently while providing clear updates to the team are essential.
Requirements:
To succeed in this role, you will need:
* 1+ years of experience as a Search Engineer or AI Engineer.
* Search Technology Experience – OpenSearch, building scalable search systems.
* 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
Benefits:
We offer:
* A fully remote working arrangement.
* A competitive compensation package.
* A collaborative and dynamic work environment.
Project Overview:
This project involves hiring one AI/LLM Engineer to join a small team building backend features for an existing RAG service. The successful candidate will work on building and optimizing RAG models for search across large-scale medical and scientific documents.