Create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all by developing and deploying AI solutions to automate and optimize Revenue Cycle Management (RCM) processes for healthcare practices
Requirements
- At least 4 years of experience in an engineering role, with exposure to AI/ML concepts
- Experience in an Agile environment preferred
- 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
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
Other
- Bachelor’s Degree or equivalent in Computer Science, Engineering, or related field
- Strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds
- Ability to own important work and find it difficult to turn down a good challenge
- Strong interest in improving healthcare
- Travel and relocation requirements not specified
