Engineering Manager (Agentic AI)
- San Francisco, United States
- Lead/Staff
- 8+ years
- Posted
Skills
Required
- AI
- software engineering
- shipping production-grade software
- Python / Go
- microservices
- API design
- cloud infrastructure
- AWS / GCP
Preferred
- LLM / Agentic AI frameworks
- open-source
- prompt engineering / fine-tuning / RAG optimization
HeartFlow, a pioneering company in the field of medical technology. As an Engineering Manager for our new Agentic AI initiatives team, you will have the opportunity to design and build production-grade agentic systems from scratch. You will start in a hands-on role as the lead architect and foundational engineer, and as the team scales, you will transition into a full Engineering Manager capacity.
Responsibilities
- You will drive the technical execution of new product features, implement safety and compliance measures, collaborate with cross-functional teams, and champion software engineering best practices.
- Concevoir, architecturer et écrire du code pour une plateforme d'IA agentique robuste, sécurisée et évolutive.
- Transitionner d'un rôle d'architecte individuel à un rôle de gestion dédié à mesure que l'équipe se développe.
- Diriger l'exécution technique de nouvelles fonctionnalités de produit pilotées par des agents, de l'idéation initiale au déploiement en production.
Requirements
- 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
- 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
- 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
- Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures, orchestration frameworks, and vector databases
- Experience deploying AI applications in regulated industries (Healthcare, Finance, etc.) or navigating HIPAA/GDPR compliance
Preferred
- Active contributions to open-source LLM or Agentic AI frameworks
- Experience with advanced prompt engineering, fine-tuning, or RAG optimization
Pay
USD 200,000 - 270,000
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