GenAI Engineer – Retrieval-Augmented Generation (RAG) - Remote

Overview

The GenAI Engineer will design, build, and optimize Retrieval-Augmented Generation (RAG) pipelines that integrate large language models with healthcare data, enhancing the interaction between patients and clinicians.

In Short

• Design and implement RAG architectures using LLMs.
• Build and maintain retrieval pipelines over health data.
• Develop indexing strategies using vector databases.
• Integrate RAG outputs into user-facing applications.
• Collaborate with product, clinical, and data science teams.
• Build evaluation pipelines for model performance.
• Contribute to scalable GenAI deployments.
• Stay updated with research in GenAI and health tech.

Requirements

• 3+ years in machine learning/NLP roles.
• Proficiency in Python and deep learning frameworks.
• Experience with vector search and embedding models.
• Familiarity with prompt engineering and evaluation.
• Experience with healthcare data compliance.
• Strong problem-solving skills.
• Bonus: Experience with MLOps and cloud platforms.

Benefits

• Opportunity to work at the forefront of healthcare technology.
• Collaborative startup environment.
• Impactful work that improves patient care.