**Artificial Intelligence Engineer Role**: We're seeking a skilled AI professional to build and optimize Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
You'll be responsible for developing semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning Large Language Models (LLMs) for textual RAG use cases. Key skills required include hands-on experimentation, model development, backend engineering, and strong communication skills.
This role involves working with Search Technology Experience – OpenSearch and 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval is essential. You will work independently while providing clear updates to the team.
* Strong background in Search Technology
* 2+ years of Python development experience
* Familiarity with LangChain
This opportunity offers the chance to work on cutting-edge projects and contribute to the growth of our organization.