Senior Software Engineer, Research

Sully.ai

9h

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.
What You’ll Do
Build and optimize core research infrastructure: evaluation pipelines, agent workflows, hallucination detectors, coding benchmarks, and research→production integrations.
Design, implement, and scale agentic systems across backend, frontend, and model integrations, collaborating closely with research and co-founders.
Own reliability, observability, and performance across agents (logging, tracing, instrumentation, safety checks).
Ship research-proven features into production within 7 days, end-to-end.
Develop shared tools, SDKs, and internal products that accelerate iteration across Research, QA, and Engineering.

Requirements

• Senior-level full-stack engineering experience in React, TypeScript, and Node.js.
• 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.

Responsibilities

• Build and optimize core research infrastructure: evaluation pipelines, agent workflows, hallucination detectors, coding benchmarks, and research→production integrations.
• Design, implement, and scale agentic systems across backend, frontend, and model integrations, collaborating closely with research and co-founders.
• Own reliability, observability, and performance across agents (logging, tracing, instrumentation, safety checks).
• Ship research-proven features into production within 7 days, end-to-end.
• Develop shared tools, SDKs, and internal products that accelerate iteration across Research, QA, and Engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed