Summary

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our innovative team at CRX. This role is pivotal in advancing our AI capabilities focused on medical record review, specifically targeting Medicare and insurance coverage criteria. The ideal candidate will lead the design, development, and enhancement of sophisticated AI models and systems that streamline healthcare data processing, improve accuracy in insurance eligibility assessments, and ensure compliance with regulatory standards. This position offers a unique opportunity to work at the intersection of cutting-edge AI technologies and healthcare, driving impactful solutions that improve patient outcomes and operational efficiency.

Responsibilities

As a Senior AI/ML Engineer at CRX, you will:

• Lead the development and continuous improvement of retrieval-augmented generation (RAG) models leveraging OpenAI services on Azure, enabling advanced natural language understanding and generation tailored to medical record review.
• Integrate AI models with Medicare APIs, PDF checklists, and diverse healthcare data sources to create a seamless and comprehensive data processing pipeline.
• Develop and maintain a robust logic library that codifies complex and evolving insurance requirements, ensuring the system adapts to annual updates and regulatory changes.
• Design and implement document classification and parsing solutions to accurately interpret various healthcare documents, including medical records, insurance forms, and regulatory checklists.
• Enhance conversational AI interfaces that allow healthcare professionals and internal users to query medical records efficiently and intuitively.
• Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and compliance experts to align AI solutions with business goals and regulatory standards.
• Ensure strong integration with PostgreSQL databases for structured data storage, retrieval, and management, optimizing performance and scalability.
• Stay abreast of the latest developments in AI/ML, healthcare data standards, and regulatory requirements to continuously improve system capabilities and compliance.
• Mentor junior engineers and contribute to building a culture of innovation, quality, and continuous learning within the AI/ML team.

Requirements

Must-Have Skills

• Python: Proficient in Python programming, with extensive experience in developing AI/ML models, data processing pipelines, and backend services. Ability to write clean, maintainable, and efficient code is essential.
• FastAPI: Experience building high-performance APIs using FastAPI to serve AI models and integrate with other system components, ensuring scalable and secure endpoints.
• OpenAI Services on Azure: Hands-on experience with OpenAI’s API offerings deployed on Microsoft Azure, including managing model fine-tuning, prompt engineering, and optimizing inference workflows for healthcare applications.
• PostgreSQL: Strong skills in designing, querying, and optimizing PostgreSQL databases to handle complex structured healthcare data, ensuring data integrity and efficient retrieval.
• Retrieval-Augmented Generation (RAG): Deep understanding of RAG architectures that combine retrieval systems with generative models to enhance information accuracy and relevance, particularly in the context of medical record analysis.
• AI/ML Model Development: Proven track record in developing, training, validating, and deploying machine learning models, with a focus on natural language processing (NLP) and document understanding.
• Healthcare Data Processing: Expertise in handling sensitive healthcare data, including knowledge of data formats, standards (such as HL7, FHIR), and best practices for secure and compliant data management.
• Document Classification and Parsing: Experience implementing automated classification and parsing techniques for diverse healthcare documents, enabling structured data extraction from unstructured sources.

Nice-to-Have Skills

• Experience with Medicare and Insurance APIs: Familiarity with Medicare data systems and insurance provider APIs, enabling seamless integration and real-time data validation for coverage criteria.
• Conversational AI: Knowledge of building and improving conversational AI systems, including dialogue management and natural language understanding, to facilitate intuitive querying of medical records.
• Regulatory Compliance in Healthcare: Understanding of healthcare regulations such as HIPAA, CMS guidelines, and other compliance frameworks that impact AI system design and data handling.
• Cloud Computing on Azure: Broader experience with Microsoft Azure cloud services beyond OpenAI, including Azure Functions, Azure Cognitive Services, and Azure DevOps for CI/CD pipelines.