
Superhuman medical staff that’s 10x better, 20x cheaper, and 100x faster.
What: Healthcare AI platform providing role-based, EHR‑integrated AI agents (scribe, triage nurse, receptionist, coder, pharmacist, etc.).
Legal name / DBA: Odiggo, Inc., doing business as Sully.ai
Compliance: Advertises HIPAA, SOC 2 Type II, ISO 27001, GDPR controls
Employees: Approximately 65
Recent funding: Series A closed Feb 10, 2025 (lead investor: Amity Ventures)
Clinical documentation, triage, scheduling, coding, pharmacy coordination and other hospital administrative/clinical workflows.
Hospitals and Health Care
Crunchbase records a Series A closed on Feb 10, 2025; public pages do not show amounts.
“Backed by accelerators and investors including Y Combinator, 500 Startups, Plug and Play, Sequoia Scout Fund, and venture investors such as Amity Ventures, Phaze Ventures, SemperVirens Venture Capital”
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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.
Why Join Sully.ai ? 🔥 Revolutionizing the antiquated $800B+ Healthcare market
🧠 60%+ Ex-founders who have built, scaled, exited. We hire A-players
⚡️ Speed matters: we operate with urgency, autonomy, and ownership
🧪 You’ll work on real, first-of-their-kind problems at the edge of AI and medicine
❤️ Your work directly unlocks doctors to reclaim their time, and patients get better, faster care
Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.
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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 <5% error rates across evaluation benchmarks.- 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. Key Results (First 90 Days)
Deliver production-grade agentic workflows with end-to-end testing.
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.
Partner with Research to productionize at least one new capability.