Staff Full Stack Engineer

About Sully.ai

Sully.ai is building the AI operating system for healthcare. Our mission is to make doctors superhuman through AI, so every patient can get faster, better, and more accessible care. Healthcare is one of the most important systems in the world, yet clinicians still lose hours every day to documentation, scheduling, intake, coding, and administrative work. We are changing that with AI medical employees: Scribes, Receptionists, Coders, Consultants and other agents that operate inside real clinical workflows. We are backed by Amity Ventures, YC, Baidu Ventures amongst others, have raised $40M+, and are already deployed across hundreds of healthcare organizations. Our products process tens of thousands of clinical encounters every day, automate millions of minutes of administrative work, and help clinicians spend more time with patients.

What you’ll do

• Write code. That means daily PRs.
• Technical leadership never comes at the expense of individual contributions. Scope out new features.
• Sit in on customer calls and formulate technical solutions that engineers can then implement. Call out risks, and make sure we only sell what we can build.
• Identify and drive deep architectural changes.
• Drive small engineering teams. As teams grow, staff engineers are expected to step up and coordinate their peers. This may look like informal meetings around individual projects, or more persistent working groups with regular stand ups.

Required Experience

• In software engineering and technical leadership. You’ve designed and shipped big things before.
• Hands-on experience working with AI products, AI agents, LLM workflows, prompt/configuration systems, evals, or similar agentic systems.
• Strong written communication and documentation habits.
• Able to translate messy customer workflows into structured technical requirements.
• High ownership and bias toward action. Strong signals.

• Experience with building with infra-as-code and/or CI/CD systems.
• Experience with AI agents, LLM workflows, prompt/configuration systems, evals, or automation tools.
• Experience with healthcare technology, EHRs, or clinical integrations (e.g. Athena, AdvancedMD, FHIR/HL7) and awareness of HIPAA/PHI handling.
• Startup or founder experience, and comfort operating in 0→1, high-ambiguity environments.
• Experience using AI-native development tools to move quickly.
• Strong debugging instincts and customer empathy.

Who this role is not for

• This Role May Not Be a Fit If You Want to be an engineering manager.
• Need fully specified tickets before taking action.
• Need a stable, fully-documented product — our products move fast and you'll help build the playbooks and rough edges as you go.
• Treat every customer request as something engineering must build.
• Over-promise to avoid difficult conversations.