AI Research Engineer
- Salary
- $200K - $300K
- Level
- Mid
- Work type
- On-site · New York
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
About Amperos
Amperos's standard text
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.
We just closed a $16M Series A led by Bessemer Venture Partners, with continued participation from Uncork Capital and Neo. We're still small, still early, and going after a $260B+ problem that's only getting worse. If you want to work on hard problems that matter, alongside people who care deeply about the mission (and each other), we'd love to meet you.
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
Amperos's standard text
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.
What this role asks for
Standard for data science / ML roles
LLM · Machine Learning · Python
Common in data science / ML postings at any company.
70% of this description is written for the role. The rest is Amperos's standard text, folded away below.
Compared with Amperos's other open jobs.
The team: Engineering
This role is one of 4 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (3 of 4)
OTHER ROLES ON THIS TEAM
- Software Engineer, Infra posted Oct 3
- Software Engineer, Integrations posted Oct 3
- Software Engineer, Full Stack posted Oct 3
From the team and dates on Amperos's own job board.
Salary context
5 other open postings titled AI Research Engineer state a salary: median USD 180,000 to USD 300,000 a year.
Similar jobs
- Forward Deployed Engineering & Applied AI Professionals at TDS Global Solutions
Shares 3 skills: LLM, Machine Learning, Python · same seniority · same country - Founding Applied AI Engineer at Clera
Shares 3 skills: LLM, Machine Learning, Python · same seniority · same country - Generative AI Applications Engineer (Agents & RAG) at Accenture Federal Services
Shares 3 skills: LLM, Machine Learning, Python · same seniority · same country - Senior Software Engineer - AI Platform at Rivian and Volkswagen Group Technologies
Shares 3 skills: LLM, Machine Learning, Python · same country - AI Machine Learning Engineer - Graduate (TikTok Content Ecology) - 2027 Start (PhD) - Graduate (TikTok Content Ecology) - 2027 Start (PhD) at TikTok
Shares 3 skills: LLM, Machine Learning, Python · same country - RCM Quality Assurance Specialist at Amperos
Also at this company
Is this your posting? Email info@careerholo.com to have it removed.