Senior Software Engineer, Research

Job type:
Full Time
· Department:
Engineering
· Work type:
Hybrid
· USD 175000
-220000 / year

Mountain View, California, United States

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.

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.

Senior-level full-stack engineering experience in React, Type Script, 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.

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 product ionize at least one new capability.

Deliver production-grade agentic workflows with