Senior Software Engineer, Research

About the role

Sully.ai is building the most impactful healthcare company on earth, aiming to make access to a great doctor a basic human right. We develop AI teammates that augment clinicians in various roles, all powered by our own world-class models.

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.

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.

Qualifications

• 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.
• Deliver production-grade agentic workflows with
• Launch a cross-agent design system + SDK adopted by at least 2 internal teams.
• Establish a weekly deploy + measure cadence with performance dashboards, latency budgets, and error budgets.
• Reduce agent latency and failure rates across at least two high-volume workflows.
• Ship multiple research-to-production integrations with measurable CSAT or accuracy gains.

Skills

• Entrepreneurial mindset: Think in outcomes, thrive in chaos, and take ownership without limits.
• Mission-obsessed: Here to save lives, not just ship features — patients and doctors are your why.
• Impact-driven & fast-moving: Sprint toward hard problems and ship with sharp judgment.
• Elite teammate: Raise the bar through high standards, direct feedback, and craft excellence.

Benefits

• Opportunity to revolutionize the healthcare industry.
• Collaborate with a diverse team of experts in AI and healthcare.
• Work on real, first-of-their-kind problems at the edge of AI and medicine.
• Impactful work that can improve patient care and access to doctors.

Pay

• $175K - $220K

Schedule

• Remote (San Francisco, CA, US; Mountain View, CA, US; Stanford, CA, US; Berkeley, CA, US; San Mateo, CA, US; Livermore, CA, US; Pleasanton, CA, US; San Jose, CA, US; Menlo Park, CA, US; Santa Rosa, CA, US; Dublin, CA, US; Danville, CA, US; Walnut Creek, CA, US; Fremont, CA, US)