Staff Software Engineer (Artificial Intelligence)

**Staff Software Engineer (Artificial Intelligence)** Remote Engineering Remote Full\-time About Fabric Health At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We aren’t here to disrupt healthcare; we’re here to fix it. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2\-10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient. We are a mission\-driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF HealthCare, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures. We move quickly for good reason, listen deeply to solve big challenges, and build products with the same care and quality we’d want for our own loved ones. **Learn more:** About Us \| News \& Press \| LinkedIn \| Careers About the Role We are looking for a Staff Software Engineer, AI with deep expertise to set the technical direction and define the architecture for advanced language and voice technologies that transform how patients and providers interact. In this strategic role, you will be a key contributor, mentoring senior engineers and driving Fabric’s most complex work across a range of AI and ML applications and techniques. This is a high\-leverage, technical leadership position at the core of Fabric’s production engineering vision. You will work cross\-functionally to pioneer novel and impactful applications of machine learning, agentic AI, and other modern technologies to meet Fabric’s existing and future business needs. What You'll Do As a Staff Software Engineer, AI, you will be instrumental in defining the technical roadmap and elevating the team’s capabilities in advanced AI concepts. Your primary responsibilities will include: * Defining the end\-to\-end architecture for mission\-critical ML/AI applications and owning the entire SDLC of those applications. * Pioneering and driving the productionization of ML and AI features in Python, integrating them seamlessly with core backend services. * Setting technical standards and providing mentorship to the engineering team, raising the overall technical bar and driving best practices. * Partnering with product and medical teams to architect appropriate, responsible safeguards and business constraints for all AI outputs at a system level. * Collaborating with engineering leadership to design and evolve robust interfaces for the Data Science team’s applications, so they can be used by a wide array of products across the organization. * Leading the way in designing and implementing automated evaluation frameworks to rigorously measure the accuracy, fairness, and performance of our systems. * Serving as the technical owner for existing NLP and AI diagnosis productio