AI / Machine Learning Engineer — Clinical AI

Role Overview

We are looking for an experienced AI / Machine Learning Engineer to build and deploy production-grade AI capabilities for a healthcare care-management platform. The role involves developing AI solutions across population health, workflow optimization, clinical decision support and documentation assistance.

Responsibilities

• Design, develop, test and deploy production AI/ML solutions.
• Develop predictive and machine-learning models for healthcare use cases.
• Build AI capabilities for population health, risk stratification, workflow optimization, clinical decision support, documentation assistance, and analytics.
• Develop LLM-powered applications using prompting and RAG.
• Build evaluation harnesses to assess model quality and reliability.
• Implement AI safety guardrails.
• Design explainable and audit-ready AI outputs.
• Conduct model evaluation, bias testing and safety testing.
• Develop PHI-safe and secure AI/ML pipelines.
• Collaborate with software engineering and healthcare-domain teams to productionize AI features.

Requirements

• 3+ years of experience building and shipping AI/ML systems in production.
• Strong Python ML stack experience.
• Strong expertise in at least two: Risk stratification, Population health, Recommendation systems, NLP/LLM, or Analytics.
• Hands-on experience developing LLM applications.
• Experience with prompt engineering and RAG.
• Experience building model evaluation frameworks and understanding AI safety guardrails.
• Ability to produce explainable and audit-ready AI outputs.

Skills

• Python
• LLM
• RAG
• NLP
• MLOps