Overview
* As a backend engineer, you will be working on building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
* Key responsibilities include fine-tuning LLMs for textual RAG use cases and deploying models to non-prod environments.
Requirements
* Experience in Search Technology, with a strong focus on OpenSearch and building scalable search systems.
* 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.
* Strong communication skills – able to work independently while providing clear updates to the team.
Nice to Have Skills
* Exposure to RAG architectures, specifically textual RAG use cases.
* AWS infrastructure familiarity (IAM, VPC, S3).
Work Environment
100% remote work arrangement.
Interview Process
Convenient interview scheduling available - 2-round process can be completed within the next week.