Staff/Senior Agentic AI Engineers, HeartFlow

• 5+ years (Senior) or 8+ years (Staff) of professional software engineering experience, with a proven track record of shipping production-grade software
• Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures
• Experience with orchestration frameworks and vector databases
• Advanced proficiency in Python or Go, alongside a solid grasp of microservices, API design, and cloud infrastructure (AWS or GCP)
• A passion for greenfield projects - you thrive in ambiguity, enjoy designing systems from scratch, and love solving complex, open-ended problems

Desirable

• To accelerate this mission, we are hiring for multiple roles across both the Senior and Staff levels
• As a founding member of our new Agentic AI initiatives team, you will step into a role that is a unique hybrid of platform architecture and greenfield product engineering
• You won't just be consuming AI models; you will be responsible for setting up the core ecosystem that allows autonomous, intelligent agents to execute multi-step medical reasoning and data workflows securely and at scale
• Whether you join us at the Senior level to drive execution or at the Staff level to help shape technical strategy and architecture, you will have a true blank-canvas opportunity to design production-grade agentic systems from scratch, directly translating our decade-plus of clinical AI success into the next generation of autonomous medical technology
• Design and implement a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory
• Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. You will build systems to parse requirements, map software modules, and auto-generate test cases - boosting engineering velocity without sacrificing the compliance rigor required for FDA-cleared software
• Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, and highly accurate within a medical context
• Enable agents to interact dynamically with complex medical data structures, Electronic Health Records (EHRs), imaging pipelines, and internal APIs
• Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures
• Mentor junior/mid-level engineers, champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems), and stay ahead of the rapidly evolving AI landscape