Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.

As a Senior AI Infrastructure Engineer at Sword Health, you will own the infrastructure that brings our AI models to life in production. From optimizing LLM inference and deploying real-time voice AI agents to scaling GPU clusters that serve millions of sessions, your work will directly power the AI Care platform that is transforming healthcare worldwide.
You will sit at the intersection of ML and infrastructure - designing systems that power real-time computer vision for movement analysis, serve large language models for conversational AI, and enable low-latency voice interactions for AI agents. You'll ensure our models run at the speed and scale our members expect. This is not a traditional DevOps role; you'll be deeply embedded in AI-specific challenges like inference optimization, real-time video processing, model serving at scale, and GPU workload orchestration.
If you're passionate about pushing the boundaries of AI infrastructure performance and want to do it in a mission-driven environment where your work directly improves people's health outcomes, we'd love to have you on our team.