Empowering Healthcare Providers through Cutting-Edge AI Solutions
We bridge the gap between clinical care and financial operations by harnessing innovative AI technology at the intersection of medical documentation, billing, and value-based care compliance.
* Real-time AI guidance for physicians at point-of-care
* Automated coding and billing optimization
* Intelligent claim follow-up to reduce denials
* Seamless compliance with value-based care requirements
This role involves developing production LLM applications that directly impact healthcare revenue and patient care, working on a recently deployed AI system that automates medical coding and billing, evolving it from good to exceptional through meticulous refinement, rigorous testing, and continuous improvement. Key responsibilities include developing and implementing business rules for medical consultation billing codes, adapting to changes from various insurance providers, proposing and implementing enhancements to existing LLM-based products, optimizing prompt engineering for maximum accuracy, conducting extensive testing, verifying data consistency, monitoring denial patterns, and continuously improving model accuracy.
The ideal candidate will have hands-on experience building products on top of large language models, strong proficiency in programming languages like Python or Go, and experience with LLM APIs, cloud platforms (AWS preferred), and databases (PostgreSQL). They must possess a solid understanding of how LLMs work and how to leverage them for production applications, be comfortable working with cloud platforms and databases, and demonstrate meticulous attention to detail with a strong capacity for debugging and code validation. Additionally, they should have the ability to work effectively in a fast-paced environment, learn new tools, frameworks, and business rules quickly, and possess a "big picture" perspective, understanding how their work fits into the entire end-to-end process from client data entry to insurance billing.
Required Skills and Qualifications:
* Hands-on experience with large language models
* Strong proficiency in programming languages like Python or Go
* Experience with LLM APIs, cloud platforms (AWS preferred), and databases (PostgreSQL)
* Solid understanding of how LLMs work and how to leverage them for production applications
* Meticulous attention to detail with a strong capacity for debugging and code validation
Benefits:
* Opportunity to work on cutting-edge AI projects
* Chance to develop skills in large language models and cloud platforms
* Collaborative and dynamic work environment
How to Apply:
* Send your resume and a cover letter explaining why you are the ideal candidate for this role