Senior Backend Developer for RAG Models
The successful candidate will work on building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
Key Responsibilities:
* Building and optimizing RAG models for efficient search
* Pre-processing and embedding over half a billion documents to ensure accurate search results
* Developing and fine-tuning Large Language Models (LLMs) for textual use cases
As an individual contributor, you will work hands-on with experimentation, model development, backend engineering, and collaboration with DevOps teams for production rollout.
Requirements:
* Proficiency in programming languages such as Python or Java
* Strong understanding of machine learning algorithms and model optimization
* Experience with document processing and search technologies
* Familiarity with cloud-based services and deployment pipelines
Benefits:
* Opportunity to work on cutting-edge AI/ML projects
* Collaborative and dynamic team environment
* Ongoing training and professional development opportunities