About Us
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 enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care.
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.
Hard 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.
First-Month Focus
Audit all cross-agent flows for UI/UX consistency, correctness, and performance gaps.
Implement shared components, typed schemas, and contract-driven interfaces for reliability.
Establish instrumentation for frontend performance, agent consistency, latency, and model round-trip tracing.
Improve or replace brittle evaluation or agent pipelines identified during onboarding.
Partner with Research to productionize at least one new capability.
90 Day OKRs
Deliver production-grade agentic workflows with
US - Bay Area On-site Full-time