AI Research Engineer

Amperos Health; New York (NY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Paid lunch, dinner, coffee, snacks

Flexible hours and time off

Health, dental, vision insurance

401(k) with matching contribution

Job summary

A pioneering healthcare technology company in New York City is seeking an AI Engineer to tackle complex AI and research challenges. The successful candidate will improve AI models and enhance automation for healthcare billing processes. Responsibilities include improving LLM orchestration and applying machine learning principles. Candidates should have deep experience in AI, particularly with Python. This position offers competitive compensation, flexible hours, and a supportive culture.

Qualifications

• Experience with LLM orchestration and prompt optimizations.
• Eagerness to experiment with the latest AI technologies.
• Ability to balance quick experimentation with systematic evaluation.

Responsibilities

• Improve models and AI quality.
• Enable product engineers to utilize AI workflows.
• Work on complex research problems related to AI.

Skills

Deep experience in implementing and building AI agents

Very high Python mastery

Experience with complex distributed systems

Interest in LLM research

Tools

Python

Job description

About Amperos Health

Amperos Health is the leading provider of multi-modal RCM agents empowering healthcare clinics to collect more revenue, faster. Founded in 2023 and backed by Uncork, Neo, Nebular.vc and strategic angels from OpenAI, Stripe, and Twilio, we're on a mission to revamp the bridge between healthcare providers and payers. Our vision is to equip healthcare providers with an AI workforce that reduces administrative burden and accelerates revenue.

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

• Competitive compensation
• Paid lunch, dinner, coffee, snacks
• In person culture at our cozy Flatiron district office in NYC with work from home on Fridays
• Flexible hours and time off
• AI subscriptions of your choice covered
• Health, dental, vision insurance
• 401(k) with matching contribution

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.