AI Research Engineer

Amperos; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Paid lunch and dinner

Flexible hours

Gym stipend

Commuter benefits

Health, dental, vision insurance

401(k) with matching contribution

Annual offsite

Job summary

Amperos is seeking an AI Engineer in New York City to tackle challenging AI research and infrastructure issues. This role will involve improving artificial intelligence models, working on LLM orchestration, and ensuring the quality of AI agents in healthcare billing.

The ideal candidate has deep experience in AI agent implementation, high Python mastery, and a passion for cutting-edge AI technology. Enjoy a vibrant in-person culture at Flatiron office and excellent benefits, including flexible hours and health insurance.

Qualifications

• Deep experience in implementing and building AI agents.
• Very high mastery of Python.
• Experience with complex distributed systems.

Responsibilities

• Improve AI models and workflows.
• Raise the bar on AI quality.
• Own end-to-end AI orchestration.

Skills

AI agents implementation

Python

LLM orchestration

Data science

Job description

About Amperos

Amperos is healthcare's first AI-native denial management and revenue recovery platform. Our agentic AI works claims end-to-end, from portal follow‑ups and payor calls to appeals and medical records, so providers can resolve more denials, recover more revenue, and focus on what matters most: serving patients.

About The Role

As an AI Engineer on our research team, you’ll work on our hardest research and AI infra problems. You’ll both help prototype new products and also work on turning prototypes into a high quality AI product. Hard problems include passing the healthcare billing Turing Test – would an insurance agent who is interacting with our AI or a healthcare biller who is reviewing the work of our AI think our AI is a human, and not an AI? More concretely, you will be working to improve our AI agent’s quality so it acts more human‑like and collects more accurate and detailed results from insurance.

What You’ll Do

• Main focus is on improving models, LLM orchestration, prompt optimizations, evaluation framework, and AI infra
• Enable agent/workflow product engineers
• Own and raise the bar on AI quality
• Own ultimate vision of end to end AI orchestration of modules
• Work on hardest research problems (ie. Anti‑AI)
• Mainly a mix of ML, data science, and applied LLM work. Heavy Python.

Who We’re Looking For

• You like reading the latest LLM research papers
• Deep experience in implementing and building AI agents
• Eager to try out the latest releases (ie. o1, OpenAI voice mode, Claude Computer‑Use) to see how it can be used in real‑world healthcare billing applications
• Worked with complex distributed systems with many async operations
• Excited about pushing the boundaries of conversational AI technology
• Can balance quick experimentation with systematic evaluation
• Very high Python mastery

Perks & Benefits

• In‑person culture at our Flatiron office in NYC with paid lunch and dinner
• Flexible hours and time off
• Gym stipend
• Commuter benefits
• Health, dental, vision insurance
• 401(k) with matching contribution
• Annual offsite

Our Values

• Lead with Empathy – Great products and teams are built on empathy—whether for our customers, users, or team members. We take the time to walk in others' shoes, listen actively, and truly understand their challenges, needs, and perspectives.
• Humbly Ambitious – We combine humility with ambition. No task is beneath us, and no challenge too big. Greatness comes from being willing to do whatever it takes, while having the courage to take bold risks and learn from failures.
• Radical Agency – Own your domain. Drive initiatives with autonomy and accountability. Think deeply, communicate with the team, and maintain a bias for action.