Research Scientist

About the role

This is an AI Research Engineer opportunity with a Seed-stage healthcare AI company building an AI-native denial management platform for revenue cycle teams. The role owns model quality: improving LLM orchestration, prompt optimisation, evaluation frameworks and AI infrastructure, and helping product engineers ship. You’ll follow LLM research closely, test new model releases against real healthcare billing workflows, and build AI agents with complex asynchronous distributed systems behind them. You’ll balance fast experimentation with systematic evaluation and own AI quality across the product. The ideal candidate will have deep experience building AI agents, very strong Python, and a habit of rigorous evaluation. Years of experience are not stated. This is an on-site role in New York City or the San Francisco Bay Area. We're looking for someone curious, pragmatic, and eager to work across the stack with a small senior team. You'll own end-to-end delivery of major features, influence architecture, and mentor engineers.

What you'll do

• Ship customer-facing features on a weekly cadence.
• Partner with design and product on scoping and trade-offs.
• Drive technical quality through review, testing, and docs.
• Mentor one or two engineers on your team.

Requirements