About Our Role
We are seeking a skilled Artificial Intelligence Engineer to join our team in building advanced AI/LLM features for a Retrieval-Augmented Generation (RAG) service.
Key Responsibilities
* Design and optimize RAG models for large-scale search across medical and scientific documents
* Develop strategies for pre-processing and embedding over half a billion documents to ensure they are contextually accurate
* Semantic chunking techniques
* Enhance the automated evaluation pipeline
* Fine-tune LLMs for textual RAG use cases
Requirements
* At least 1 year of experience as a Search Engineer or AI Engineer
* Proficiency in Search Technology – OpenSearch, scalable search systems
* 2+ years of Python development experience, including API creation, model training, testing, and backend programming
* Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
* Strong communication skills – collaboration with the team while providing clear updates
This is an opportunity to contribute to innovative projects and develop your expertise in AI and machine learning.