About the job
OutcomesAI is at the forefront of healthcare technology, developing an innovative AI-driven nursing platform that enhances clinical teams, streamlines routine workflows, and effectively scales nursing capacity. Our platform synergizes AI voice agents with licensed nursing professionals to facilitate patient interactions, symptom assessment, remote monitoring, and post-acute care. By alleviating administrative demands, we empower healthcare providers to concentrate on direct patient engagement.
Our flagship product suite encompasses:
● Glia Voice Agents – sophisticated multimodal conversational agents adept at managing patient calls, conducting evidence-based symptom assessments (e.g., Schmitt-Thompson protocols), scheduling appointments, and providing education and follow-up care.
● Glia Productivity Agents – AI companions for nurses that automate documentation, scribing, and clinical decision-making, seamlessly integrating with EHR systems like Epic and Athena.
● AI-Enabled Nursing Services – a hybrid care delivery framework where AI collaborates with licensed nurses to offer virtual triage, remote patient monitoring, and specialized support programs (e.g., oncology, dementia, dialysis).
Our cutting-edge AI infrastructure utilizes multimodal foundational models, incorporating automatic speech recognition (ASR), natural language understanding, and text-to-speech (TTS) tailored for healthcare settings, ensuring safety, empathy, and clinical precision. All models operate within a HIPAA-compliant and SOC 2-certified environment. OutcomesAI collaborates with leading healthcare systems and virtual care organizations to implement and validate these capabilities at scale. Our mission is to establish the world’s first AI + nurse hybrid workforce, enhancing access, safety, and efficiency across the healthcare continuum.
In this role, you will lead the comprehensive technical development of speech models (ASR, TTS, Speech-LLM) from architecture to production deployment. As a Tech Lead, you will serve as both an individual contributor and mentor, guiding a small team focused on model training, synthetic data generation, active learning, and inference optimization tailored to healthcare applications.
