Job Overview
We are seeking an experienced Search Technology Engineer to join our team. The ideal candidate will have expertise in developing scalable search systems and building large-scale models for text retrieval.
Key Responsibilities
* Design, develop, and optimize RAG models for search across large-scale medical and scientific documents.
* Implement pre-processing and embedding strategies to ensure searchable and contextually accurate results.
* Collaborate with the team to improve the automated evaluation pipeline and fine-tune LLMs for textual RAG use cases.
Requirements
* 1+ years of experience as a Search Engineer or AI Engineer with a strong background in Search Technology Experience.
* 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.
Nice to Have Skills
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Exposure to RAG architectures, specifically textual RAG use cases.
This role requires strong communication skills and the ability to work independently while providing clear updates to the team.