Software Engineer Full Stack & AI Systems

Staff Software Engineer Full Stack & AI Systems Location

200000 - 230000 a year (s)

About Us ,
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 (Med Con-1) outperforms GPT-4.5, Gemini, Claude on clinical reasoning tasks

Sully requires A-players capable of 4 months = 1 year output.

About the Role We are seeking a Staff Software Engineer to architect and scale Sully.ai ’s platform-level agentic AI systems within our Engineering Research team. This role combines full‑stack engineering excellence with deep expertise in LLM-powered experiences. You’ll design, implement, and optimize core components across frontend, backend, and model integrations, while driving engineering direction in close collaboration with our co‑founders. Your work will directly shape the reliability, speed, and cohesion of Sully.ai

’s multi-agent ecosystem.

• Architect and implement cross-agent systems that power core Sully.ai experiences
• Build and scale full-stack product components using Type Script/React and Python services
• Integrate LLMs into production workflows with strong contracts, observability, and test coverage
• Develop shared UI components and typed SDKs to unify cross-agent experiences
• Lead engineering direction, collaborating with founders and cross-functional stakeholders

• Staff/Principal-level full-stack experience in React, Type Script, and Node
• Proven ability to design, ship, and scale LLM-powered applications
• Expertise in API design, streaming, and CI/CD pipelines
• Strong cloud infrastructure background (AWS, GCP, or Azure)
• Track record of building reliable systems with measurable performance and error budgets

• Experience with WebRTC or audio-aware UI design
• Hands-on work with agentic AI frameworks
• History of creating design tokens, SDKs, or cross-agent platforms

• Audit current cross-agent flows for UI/UX cohesion
• Implement shared components and typed contracts for reliability
• Establish instrumentation for frontend performance and model round-trip tracing

• Deliver end-to-end tested, production-grade agentic workflows with