Amperos Health Inc.

Automating Healthcare Revenue Recovery

Amperos Health is an AI-native healthcare technology company that tackles a massive, systemic problem: the $262 billion lost annually to denied insurance claims. By deploying agentic AI that works directly within a provider's existing billing software, Amperos automates the entire revenue cycle management (RCM) process—from portal follow-ups and payer calls to submitting appeals and medical records. The platform acts as an extension of a provider's team, combining AI efficiency with human RCM expertise to resolve claims without the need for additional hiring. Having already processed over 500,000 claims across 3,000 clinical locations, Amperos has proven its ability to drive higher recovery rates at a lower cost to collect.

A Culture of Empathy and Radical Agency

The team at Amperos is guided by core values that balance high ambition with a grounded, collaborative approach. They emphasize "Leading with Empathy," ensuring that every product decision is rooted in a deep understanding of the daily frustrations faced by healthcare billing teams. Their culture is described as "Humbly Ambitious," meaning no task is too small and no challenge is too large, fostering an environment where team members are encouraged to take bold risks and learn from failures. Additionally, "Radical Agency" is a cornerstone of their work style, empowering individuals to own their domains with deep autonomy and accountability.

What You'll Actually Do

Working at Amperos means building at the intersection of healthtech, B2B SaaS, and cutting-edge AI. For engineers, especially those in AI research and applied machine learning, the day-to-day involves tackling complex distributed systems and pushing the boundaries of conversational AI. A key challenge is passing the "healthcare billing Turing Test"—ensuring the AI agent interacts so naturally with insurance portals and representatives that it is indistinguishable from a human biller. You'll be heavily involved in Python development, optimizing large language models (LLMs), refining prompt strategies, and building robust evaluation frameworks to elevate the AI's quality and accuracy.

Compensation & Benefits

Amperos offers highly competitive compensation for a Series A startup. Engineering roles, such as the AI Research Engineer, list base salaries ranging from $200K to $300K, accompanied by equity offerings. The benefits package is comprehensive, covering medical, dental, and vision premiums in full for employees and dependents. Additional perks include a 4% 401(k) match, a gym stipend, pre-tax commuter benefits, and a dedicated budget for home office gear. For those working in the NYC office, lunch and dinner are provided daily, complementing a flexible time-off policy and regular company offsites.

The Interview Process

While detailed public accounts of the interview process are limited, candidates applying for technical roles can expect a rigorous evaluation focused on both applied machine learning and system architecture. Given the emphasis on high Python mastery and experience with LLM orchestration, interviews likely involve deep technical discussions on AI infrastructure, practical coding assessments, and system design challenges tailored to complex, asynchronous workflows. The process will also assess cultural fit, looking for individuals who demonstrate the company's values of radical agency and humble ambition.

Why Join / Why Not

Amperos is an ideal destination for engineers and product builders who want to apply generative AI to a tangible, high-impact problem. The opportunity to work on an end-to-end agentic AI platform that directly improves the financial health of medical practices is highly rewarding. The recent $16M Series A funding from top-tier investors like Bessemer Venture Partners provides strong financial backing and a clear runway for growth.

However, the environment is not for everyone. The company operates primarily on an in-person model (NYC/SF), which may deter those seeking fully remote opportunities. Furthermore, navigating the highly regulated and complex healthcare landscape requires patience and a willingness to deal with legacy systems and intricate insurance protocols, which can be frustrating for those who prefer purely technical challenges devoid of industry-specific red tape.