
Job Overview
Location
Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II at Capital Rx, Inc., where you will design and implement complex AI systems leveraging ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA to transform healthcare through innovative technology.
- • Day to day, you will design, develop, and productionize ML solutions; develop and maintain backend services using Python; design and implement APIs for AI model integration; collaborate with cross-functional teams as an ML specialist; work across the full ML lifecycle from problem definition to deployment; participate in code reviews and testing; troubleshoot AI model and integration issues; implement telemetry and A/B testing; document system designs; and ensure HIPAA-compliant handling of healthcare data.
- • You will be part of Judi Health, an enterprise health technology company comprising Capital Rx (a public benefit corporation delivering PBM solutions), Judi Health™ (health benefit management solutions), and Judi® (the industry’s leading Enterprise Health Platform), all working together to rebuild trust in U.S. healthcare through scalable, secure technology.
- • In this role, you will deepen your expertise in LLMs, MLMs, GenAI, and MLOps while contributing to high-impact, mission-driven products that improve patient outcomes and operational efficiency in a fast-paced, collaborative startup environment.
Skills & Technologies
About Capital Rx, Inc.
Capital Rx is a full-service pharmacy benefit manager and healthcare technology company that modernizes drug pricing and claims processing. Its cloud-based platform, JUDI, connects every aspect of the pharmacy ecosystem, enabling transparent, pass-through pricing and real-time analytics. The company administers formularies, rebates, and networks for employers, health plans, and government entities, aiming to lower prescription costs and improve patient outcomes.
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