Engineering Manager - Agentic AI

Heartflow - San Francisco, CA

Hiring: Engineering Manager - Agentic AI Company: Heartflow Location: San Francisco, CA Job Posted Time: 2026-09-10 10:29:34 Target Skills & Keywords : API Design, AWS, CI/CD, Fine-tuning, GCP, GDPR, HIPAA, LLM, Microservices, Python, RAG About the job Experience: •8+ years of professional software engineering experience, with a proven track record of shipping production-grade software. •5+ years of experience managing, mentoring, or acting as a formal technical lead for software engineering teams. Required Skills: •To accelerate this mission, we are seeking an Engineering Manager to build and lead our new Agentic AI initiatives team. •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. •Initial Hands-On Execution: Design, architect, and write code for a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory. •Team Building & Leadership: Transition from an individual contributor/architect role into a dedicated management role as the team scales. •Technical Strategy: Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. Build systems to parse requirements, map software modules, and auto-generate test cases. •Safety & Compliance: Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, highly accurate, and meet the compliance rigor required for FDA-cleared software. •Cross-Functional Collaboration: Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures and viable product roadmaps. •Best Practices: Champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems) and keep the team ahead of the rapidly evolving AI landscape. Qualifications: •Player-Coach Mentality: Willingness and technical capability to be deeply hands-on with code and architecture during the first 6–12 months while concurrently building the team. •Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures, 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. •Active contributions to open-source LLM or Agentic AI frameworks. •A reasonable estimate of the base salary compensation range is $200,000 to $270,000, cash bonus, and equity. Compensation: •$200,000 - $270,000 / year •A reasonable estimate of the base salary compensation range is $200,000 to $270,000, cash bonus, and equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!