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 Staff AI Engineer on the Mind team, you will be the technical cornerstone of our end-to-end mental health platform. We view Mind as the “Claude Code for mental health”, a highly sophisticated, multi-agent system that manages complete patient care pathways.
In this staff-level role, you will architect the next generation of our agentic infrastructure. You will move beyond implementation to design the orchestration layers, memory systems, and RAG frameworks that allow multiple LLMs to work in concert. While you will work closely with our AI Research team on model training today, you will play a pivotal role in evolving our applied training capabilities and specialized fine-tuning for clinical environments
What you’ll be doing:Agentic Architecture: Lead the design and scaling of complex multi-agent workflows, focusing on reliability, clinical safety, and sophisticated orchestration of multiple LLMs;Applied Model Evolution: Collaborate with AI Research to support and eventually spearhead post-training initiatives (SFT, RLHF) tailored for therapeutic domains;Technical Strategy: Define the long-term AI roadmap for the Mind team, balancing cutting-edge research with the pragmatic, high-availability needs of a production environment;Infrastructure Leadership: Oversee the development of robust evaluation frameworks and data pipelines that enable rapid iteration on both RAG performance and model behavior;Bridge Research & Production: Act as the primary technical liaison between AI Research and Engineering, ensuring state-of-the-art breakthroughs are successfully translated into scalable product features.What you need to have:ML Expertise: 8+ years of professional experience in Machine Learning, with a proven track record of shipping complex AI products at scale;Agentic Orchestration: Significant experience building and maintaining production-grade Agentic AI systems involving multi-model coordination, complex memory management, and tool-use;Applied Training Knowledge: Practical experience with LLM fine-tuning and evaluation. You understand the data requirements for post-training and are eager to drive these capabilities within an applied engineering context;Technical Stack: Expert-level Python and SQL (TypeScript is a plus); deep familiarity with modern AI orchestration frameworks and production software engineering best practices;High-Level Leadership: Experience setting technical direction, navigating deep ambiguity, and providing high-impact mentorship to senior engineers;Communication: Exceptional ability to translate technical complexity into strategic business value for both leadership and cross-functional stakeholders.Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
