Forward Deployed AI Engineer

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical-grade accuracy Native predictive models that detect 85% of preventable adverse events several days in advance Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA. About the Role As our Forward Deployed AI Engineer, you’ll sit at the point where Circadia’s AI meets our customers’ day-to-day care operations. You’ll work hands-on with skilled-nursing, home-health and home-care partners to deploy, integrate and tailor the Circadia Intelligence Platform to their workflows. You’ll partner closely with Engineering, Data Science, Product and Customer Success to turn customer needs into working solutions, and bring what you learn in the field back into the core product. Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law. What You’ll Do Lead technical deployments of the Circadia Intelligence Platform at customer sites, from scoping through go-live and adoption Build and maintain integrations that bring Circadia’s predictions into customer EHR, care-coordination, billing and compliance workflows Configure, adapt and evaluate AI and predictive-model workflows (including LLM-based tools) for each customer’s clinical and operational context Work directly with clinical and operations stakeholders to understand their workflows and translate their needs into technical requirements and working solutions Diagnose and resolve deployment, data-quality and integration issues in production Feed field insights back to Product, Engineering and Data Science to shape the roadmap and make future deployments faster and repeatable Build reusable tooling, documentation and playbooks for customer onboarding Must-Have Qualifications Degree (in progress or completed) in Computer Science, AI/ML, Data Science or a related field Relevant AI/ML coursework and hands-on projects, including LLM-based applications Programming skills in Python, with familiarity with APIs and SQL Clear communication with technical and non-technical people Nice-to-Haves Experience with healthcare data, EHR systems or post-acute / senior-care settings Familiarity with HIPAA and working with protected health information Experience with cloud platforms (AWS, GCP or Azure) and containerized deployments Experience at an early- or growth-stage startup