Senior AI Engineer, MLOps & Distributed Systems

Join the Proactive Communications & Notifications pod at Hinge Health to build MLOps and distributed systems for AI-powered member experiences. Own production path for models, design deployment, serving, monitoring, and backend integration. Work with ML Scientists, Data Engineers, and Product teams. Focus on making AI safe, observable, scalable, and cost-conscious. Requires strong backend and distributed-systems experience, MLOps skills, and Python proficiency.

Senior software engineer with 3+ years professional experience in backend/distributed systems, including on-call. Demonstrated experience deploying ML/AI services in production with Python and at least one backend language (TypeScript, Go, Java, Kotlin). Preferred: MLOps, inference pipelines, AWS, Kubernetes, Docker, Kafka, PostgreSQL, Airflow, Databricks, MLflow, workflow orchestration, observability for ML, partnering with data scientists, generative AI, healthcare domain.