Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
We are looking for an AI Engineer to join RCM (Revenue Cycle Management) products – managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy AI solutions to automate and optimize RCM processes. This role focuses on developing innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices.
About you
You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in AI and keep abreast of the latest tools and technologies. You have experience building AI solutions and productionizing it to solve real complex problem in revenue cycle management. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare.
About the team
The athenaCollector product is a vital component of the athenaOne platform, processing billions in client revenue annually. The AI team is using the latest AI tools, LLMs, and other technologies to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athenaCollector product to build AI solutions into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy these solutions into productio using cloud technologies.
Responsibilities:
- Ability to design and implement AI-powered solutions that improve software functionality.
- Problem-solving mindset to debug and optimize AI-generated responses.
- Ability to collaborate across AI, DevOps, and software engineering teams for seamless AI model integration.
- Experience in AI-driven feature development, from prompt engineering to embedding optimization.
- Ability to assess AI-generated content for bias, accuracy, and compliance.
- Strong analytical skills to measure AI model performance and recommend improvements.
- Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI deployment.
Qualifications:
- At least 4 years of experience in an engineering role, with exposure to AI/ML concepts.
- Experience in an Agile environment preferred.
- Bachelor’s Degree or equivalent in Computer Science, Engineering, or related field.
- Strong software engineering experience, including AI model integration and GenAI API workflows.
- Knowledge of modern programming language: Python (preferred for AI applications)
- Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and AI data pipelines.
- Experience with AI frameworks and APIs such as OpenAI GPT, Hugging Face Transformers, LangChain, LlamaIndex.
- Exposure to retrieval-augmented generation (RAG), embeddings, and AI search optimization techniques.
- Understanding of vector databases (FAISS, Pinecone, ChromaDB) and similarity search models.
- Proficiency in cloud-based AI deployments (AWS or Azure OpenAI).
- Strong grasp of GenAI model evaluation techniques (BLEU, ROUGE, BERT Score, cosine similarity metrics).
About athenahealth
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here: athenahealth.com/careers
https://www.athenahealth.com/careers/equal-opportunity
Top Skills
athenahealth Boston, Massachusetts, USA Office
80 Guest Street, Boston, MA, United States, 02135
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
