Senior Software Engineer, Research
Sully.AI - US - Bay Area
Posted Feb 26, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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About this role
Senior Software Engineer, Research US - Bay Area 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,
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