Senior ML/AI Engineer - Remote

Overview

We are looking for a skilled and motivated Senior AI /ML Engineer to join our dynamic team at Quantori. This position requires developing and refining a multi-RAG architecture for scientific and regulatory writing, focusing on modularity and quality assurance. This individual will be working with an existing POC in Snowflake.

In Short

• Architect multi-agent systems (supervisor, router, reasoning flow)
• Integrate/harmonize EHR & claims datasets
• Develop/tune ML models
• Ensure reproducibility, documentation
• Communicate ML findings to clinical research
• Integrate MCP server (potential)/other tools; ensure workflow compatibility
• Develop agent decision policies
• Diagnose reasoning gaps, refine routing logic

Requirements

• Proficiency in Python programming and experience with Python data science frameworks
• Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn)
• Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter
• Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse)
• Experience with MCP tool integration and orchestration
• Experience with API design and integration
• Experience with tool wrapping and interoperability
• Experience with Error handling and debugging (agentic workflows, logs)
• Experience with Modular system design, performance constraints
• Real-world data experience (EHR, claims)
• Familiarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)
• Upper-Intermediate or higher level of English proficiency
• Ability to work with external clients and strong communication skills, including presenting in webinars and conferences
• Ability to mentor team members and assist in their professional development
• Quick learner with the ability to adapt to new technologies, frameworks, and algorithms

Benefits

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise
• Certifications paid by the company