Join ClarityCare AI to build the core AI infrastructure for healthcare utilization management. You will develop production-grade RAG pipelines and multi-agent systems that process messy clinical records to generate auditable medical determinations. Working directly with founders, you’ll solve high-stakes problems where “mostly right” is a failure, impacting real-world patient outcomes.
Member of Technical Staff at ClarityCare AI
Join ClarityCare AI in San Francisco as a Member of Technical Staff to build the AI infrastructure revolutionizing healthcare utilization management. Backed by Maverick Capital and firstminute capital, we’re already past $1M ARR and scaling fast toward eight figures. You’ll develop production RAG pipelines and multi-agent systems that process complex clinical records, turning weeks of prior authorization wait times into hours. If you’re a high-ownership engineer who loves Python, React, and solving high-stakes problems where precision is everything, come help us shape the future of clinical AI.
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Location
San Francisco, United States
Compensation
$120k-$190k + Equity
Company
ClarityCare AI
Role overview
HealthcareDover, United StatesSeed (VC-backed)
ClarityCare AI transforms utilization management with generative AI. Our intelligent agents pre-fill and review prior-authorization requests, cutting manual work and accelerating approvals. Trusted by TPAs and payers nationwide, we streamline cases for hundreds of thousands of patients daily—helping them receive the right care faster while saving our partners time, money, and clinical capacity.
Backed by Maverick Capital.
What you will do
- Scope and architect complex AI solutions, building RAG pipelines and multi-agent workflows that navigate unstructured clinical medical records with high precision.
- Own the full-stack lifecycle of features, from backend Python/FastAPI services to frontend React/Next.js interfaces and infrastructure deployment via AWS and Terraform.
- Partner with clinical and technical stakeholders to ensure AI outputs meet rigorous regulatory and clinical standards, maintaining a relentless focus on auditability.
Who this is a fit for
- Strong Python backend engineering background with proven experience building LLM-powered systems like structured extraction, RAG, or multi-agent workflows.
- Full-stack capability with React, Next.js, or TypeScript, coupled with a deep desire to understand technical systems “all the way down.”
- Bias toward shipping in ambiguous environments and a “production ownership” mindset involving monitoring, reliability tuning, and performance optimization.
Why this role is remarkable
- Work on “Electra,” a production-grade AI platform already generating seven-figure ARR and scaling rapidly toward eight figures by year-end.
- Directly impact the American healthcare system by collapsing the weeks-long prior authorization bottleneck into hours using sophisticated LLM-powered workflows.
- Collaborate closely with founders Hermine Tranie (CEO) and Alexandru Andrei (CTO) in a high-ownership, onsite culture that values deep technical curiosity.
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If your profile’s a match and ClarityCare AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.