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LeadFull-timeTypeScriptPythonAWSGCPMachine LearningGitAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff AI Engineer to join the Mind team at Sword Health, where you will be the technical cornerstone of our end-to-end mental health platform. This role involves architecting the next generation of agentic infrastructure for a multi-agent system that manages complete patient care pathways.
Key Responsibilities
- →Lead the design and scaling of complex multi-agent workflows, focusing on reliability, clinical safety, and sophisticated orchestration of multiple LLMs
- →Collaborate with AI Research to support and eventually spearhead post-training initiatives (SFT, RLHF) tailored for therapeutic domains
- →Define the long-term AI roadmap for the Mind team, balancing cutting-edge research with the pragmatic, high-availability needs of a production environment
- →Oversee the development of robust evaluation frameworks and data pipelines that enable rapid iteration on both RAG performance and model behavior
- →Act as the primary technical liaison between AI Research and Engineering, ensuring state-of-the-art breakthroughs are successfully translated into scalable product features
Requirements
- ✓8+ years of professional experience in Machine Learning, with a proven track record of shipping complex AI products at scale
- ✓Significant experience building and maintaining production-grade Agentic AI systems involving multi-model coordination, complex memory management, and tool-use
- ✓Practical experience with LLM fine-tuning and evaluation
- ✓Expert-level Python and SQL (TypeScript is a plus)
- ✓Deep familiarity with modern AI orchestration frameworks and production software engineering best practices
- ✓Experience setting technical direction, navigating deep ambiguity, and providing high-impact mentorship to senior engineers
- ✓Exceptional ability to translate technical complexity into strategic business value for both leadership and cross-functional stakeholders
