About The Position

At Sully.ai, We’re Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that’s not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission: One Human, One Doctor. We build AI teammates that augment clinicians — scribes, nurses, receptionists, translators — all powered by our own world-class models and deployed in real-world care. Our Traction 450+ organizations signed 16 months AI agents cut admin by ~2.8 hours daily and reduce onboarding 85%. 5M+ Clinical Tasks completed to date, serving 36+ specialties. Raised $25M from YC, Eric Yuan, Amity, Semper Virens Patented AI architecture (MedCon-1) outperforms GPT-4.5, Gemini, Claude on clinical reasoning tasks Sully requires A-players capable of 4 months = 1 year output. If you’ve ever said, “I want to do work that actually matters”, this is it. Let’s build something life-changing, together. Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.

Requirements

  • Deep expertise in Node.js, TypeScript, and Python.
  • Proven experience integrating with multiple EHR systems across SMB and enterprise environments.
  • Hands-on work with FHIR, HL7, REST APIs, SOAP APIs, and hybrid/on-prem systems.
  • Experience building with RPA frameworks (Selenium or similar).
  • Background in customer-facing engineering roles, gathering requirements and translating them into technical deliverables.

Responsibilities

  • Partner closely with co-founders to set integration strategy and make build vs. buy decisions.
  • Work directly with customers to gather requirements, define workflows, and deliver production-ready solutions.
  • Collaborate with AI/ML engineers to bridge integrations with applied GenAI systems, ensuring real-world deployment of intelligent automation.
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