AI Research Engineer

Amperos Health, Inc

$120K — $150K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI engineering or related fields
  • Deep understanding of LLMs and their applications in real-world scenarios
  • Proficiency in Python with strong coding skills
  • Experience with complex distributed systems and asynchronous processes
  • Familiarity with the latest AI research and tools
  • Ability to balance rapid experimentation with thorough evaluation
  • Excitement for advancing conversational AI technology

Responsibilities

  • Improve existing AI models and develop new ones for healthcare billing
  • Enhance LLM orchestration and optimize prompts for better results
  • Ensure high standards of AI quality and performance
  • Own the vision for seamless AI orchestration across modules
  • Tackle challenging research problems in the AI domain
  • Support product engineers in developing and integrating AI workflows
  • Conduct rigorous evaluations to validate AI functionalities

Benefits

  • Paid lunch, snacks, and dinner for late stays
  • Flexible work hours and time off
  • In-person culture in a comfortable NYC office with WFH on Fridays
  • Coverage for AI subscriptions of your choice
  • Comprehensive health, dental, and vision insurance
  • 401(k) with matching contributions
Full 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, coffee, snacks (and dinner if you're staying late)
  • 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.

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