Amperos
Software Engineer, Full Stack
About this role
Amperos is an AI-native healthcare platform automating denial management and revenue recovery for providers. We're seeking a full-stack software engineer to build agentic workflows, voice AI, and generative features while partnering directly with customers to solve complex revenue cycle management problems.
What you'll do
- Partner with customers to design and implement end-to-end agentic workflows
- Develop voice AI, browser agents, and generative AI features
- Build full-stack features and tools supporting agentic products
- Own projects from conception through scaling and optimization
- Develop expertise in healthcare RCM workflows to inform engineering decisions
- Lead cross-functional collaboration with product and customer teams
What they're looking for
- Full-stack development with backend expertise
- LLM and generative AI product development
- Voice AI and browser automation technologies
- Product thinking and customer problem-solving
- High agency and self-directed execution
- Strong communication and proactive information sharing
- Healthcare domain learning capability
- Flexibility to wear multiple hats
Benefits
- In-person NYC Flatiron office with complimentary lunch and dinner
- Flexible hours and unlimited time off
- Comprehensive health, dental, and vision insurance
- 401(k) with company matching
- Gym stipend and commuter benefits
- Annual team offsite
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Amperos
Amperos builds an AI-native healthcare platform that automates denial management and revenue recovery for providers using agentic workflows, voice AI, and generative features. The company is hiring infrastructure engineers, full-stack software engineers, AI research engineers, and integration specialists to scale its platform and connect it with healthcare EMR systems.
View all jobs at AmperosLikely interview questions
- Tell us about a time you built an AI/LLM-powered feature end-to-end. What was challenging about incorporating AI into the product?
- Walk us through how you'd approach learning a new domain (like healthcare RCM workflows) deeply enough to make good engineering decisions.