Backend Engineer, Agentic AI (Staff+ Level)

## About Us Founded by a former Oscar Health leader, we're a seed-stage company with $17M in funding. We're lucky to be backed by the founders and investors at Hugging Face, Rocket Money, Oscar Health, CaseText, Forerunner Ventures, RRE Ventures, and more. We are well-funded for the next few years. Location: While parts of our engineering team operate remotely elsewhere in the US, we strongly encourage New York–based applicants who are excited to engage in a more in-person hybrid dynamic. Local employees typically work from our Chelsea office Monday through Thursday, with Fridays working from home. ## About the Role The Automations pod turns complex healthcare case work into scalable, agentic workflows — driving automation coverage, lowering cost to serve, and ensuring users get fast, accurate outcomes without needing to navigate the system themselves. As an engineer on this team, you'll help build the intelligence layer behind these workflows — designing distributed systems, integrating AI models, and ensuring everything runs reliably at scale. ## What You'll Do - Design and build scalable systems and APIs that power agentic workflows from case activation through resolution. - Push the frontier of AI-driven engineering, working on prompt orchestration, agent frameworks, and model evaluation loops. - Collaborate closely with Product, Engineering, and domain experts to translate complex healthcare processes into reliable automations. - Architect systems for scale and reliability, ensuring human escalation pathways are transparent and seamless. - Play a key role in shaping the pod's technical strategy, and mentor others as the team grows. ## What You Might Work On - Creating and optimizing AI pipelines to identify, categorize, and resolve errors in medical billing and insurance claims. - Building automated agents and backend services that handle complex case flows with minimal human intervention. - Integrating domain-specific healthcare knowledge into models and decision engines to improve accuracy. - Developing tooling and infrastructure to measure and improve AI performance in real-world scenarios. ## We'll be most excited if you - Bring 9+ years of backend engineering experience, ideally building production systems at scale. - Are deeply curious about AI — from prompt engineering and agent orchestration to model evaluation. - Excel at designing pragmatic, scalable, and maintainable systems. - Have a strong foundation in distributed systems, cloud computing, and API design. - Are passionate about solving complex problems and improving user experiences through automation. - Are comfortable working in a fast-paced, agile environment with a strong emphasis on collaboration and innovation.