Amperos Health Logo

Amperos Health

AI Research Engineer

Reposted 3 Months Ago
In-Office
New York, NY, USA
Mid level
In-Office
New York, NY, USA
Mid level
As an AI Research Engineer, you'll focus on enhancing AI quality, improving models and orchestration, and solving complex AI problems in healthcare billing.
The summary above was generated by AI
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.

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

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.

Amperos never asks candidates for money at any stage of the hiring process, including fees for interviews, processing, or recruitment. No one at Amperos, or acting on our behalf, is authorized to request payment. If you are asked for payment, please do not send any money and report it confidentially here: Report a Hiring Concern

HQ

Amperos Health New York, New York, USA Office

New York, New York, United States

Similar Jobs

8 Days Ago
In-Office
New York City, NY, USA
106K-177K Annually
Senior level
106K-177K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.
Top Skills: Agentic AiAi PlatformsAPIsCi/CdCloud ComputingContainersDistributed InferenceDistributed TrainingHigh-Performance ComputingInference OptimizationJaxKnowledge GraphsLarge Language ModelsMachine LearningMlopsModel ServingMultimodal LearningOrchestrationPythonPyTorchRetrieval-Augmented GenerationScientific Machine LearningVersion Control
8 Days Ago
In-Office
New York City, NY, USA
139K-232K Annually
Senior level
139K-232K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.
Top Skills: Agentic AiAi EvaluationAPIsCi/CdCloud ComputingContainersDistributed InferenceDistributed TrainingGpu TrainingHigh-Performance Computing (Hpc)JaxKnowledge GraphsLarge Language Models (Llms)MlopsMultimodal LearningOrchestrationPythonPyTorchRetrieval-Augmented Generation (Rag)Scientific Machine Learning
One Month Ago
Hybrid
New York, NY, USA
214K-285K Annually
Senior level
214K-285K Annually
Senior level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Build and deploy AI capabilities for Hex’s Notebook Agent and context engine. Responsibilities include running experiments, fine-tuning models, developing AI infrastructure and experimentation tooling, architecting AI-enabled systems, and shipping production experiences for data scientists and analysts. The role partners closely with product teams, spans greenfield initiatives, and offers opportunities for technical and team leadership.
Top Skills: Apollo GraphqlAWSCi/CdExpressHelmJavaScriptKubernetesMlopsPostgresPythonReactRedisReduxSQLTerraformTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account