Teams at Get Well Network

Design, train, fine-tune, and deploy production-ready LLM and multimodal AI systems for healthcare. Build voice-enabled conversational interfaces, preprocess and manage large healthcare datasets with privacy controls, implement continuous learning and evaluation pipelines, and ensure model fairness, reliability, and integration into clinical products through cross-functional collaboration and Agile practices.

The Senior AI QA Engineer will design robust testing frameworks for validating clinical pipeline outputs and ensure data integrity through advanced QA practices in AI/ML.

Lead architecture and development of cloud-native, AI-first healthcare platforms. Drive AI-augmented engineering, build scalable microservices and APIs (FHIR/HL7/CDA), adopt LLMs/Agentic AI and AI tooling, ensure security/HIPAA compliance, mentor engineers, and collaborate across product, QA, DevOps, and compliance to improve velocity and quality.