AI Software Engineer – Healthcare Revenue Cycle Management

Company

Legacy Health is a leading innovator in the healthcare sector, dedicated to improving patient care and outcomes through cutting-edge technology. We are building the next generation of healthcare solutions and seeking a highly skilled and passionate AI Architect to join our dynamic team and drive the development of transformative artificial intelligence systems.

Position Summary

The AI Software Engineer is responsible for designing, developing, testing, and deploying AI-enabled software solutions that improve efficiency, accuracy, and automation across healthcare Revenue Cycle Management (RCM) operations. This role will work closely with Product Development, Technology, Operations, and RCM subject matter experts to identify opportunities to apply artificial intelligence, machine learning, natural language processing, and workflow automation to complex healthcare business processes.

The ideal candidate combines strong software engineering skills with practical experience implementing AI technologies in production environments. Experience with healthcare revenue cycle workflows, healthcare data, EHR/practice management systems, or HIPAA-regulated environments is strongly preferred.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI-powered applications and software solutions supporting healthcare RCM operations.
• Develop solutions that improve or automate workflows such as eligibility and benefits verification, charge capture, coding support, claim submission, payment posting, denial management, accounts receivable follow-up, prior authorization, and patient financial services.
• Build and integrate generative AI, large language models (LLMs), machine learning models, NLP solutions, APIs, and automation technologies into existing platforms and workflows.
• Develop secure integrations with EHRs, practice management systems, clearinghouses, payer platforms, and internal applications.
• Work with healthcare data formats and interoperability standards such as HL7, FHIR, X12, APIs, and structured/unstructured healthcare data.
• Develop AI agents and intelligent workflow automation solutions capable of supporting complex, multi-step RCM processes.
• Build APIs, backend services, data pipelines, and application components required to operationalize AI solutions.
• Evaluate and integrate third-party AI models, platforms, APIs, and open-source technologies when appropriate.
• Implement appropriate human review, validation, monitoring, and exception-handling processes for AI-assisted workflows.
• Monitor AI solutions for accuracy, reliability, performance, security, and scalability.
• Establish testing methodologies and quality controls to reduce hallucinations, inaccurate outputs, and unintended AI behavior.
• Partner with RCM subject matter experts to translate operational challenges into technical requirements and scalable solutions.
• Maintain technical documentation, source code, system architecture documentation, testing results, and deployment procedures.
• Participate in code reviews, debugging, troubleshooting, and continuous improvement activities.
• Ensure applications and AI solutions comply with HIPAA, PHI protection requirements, company security standards, and applicable client requirements.
• Follow secure software development practices, including appropriate access controls, logging, encryption, credential management, and data-handling procedures.
• Stay current on emerging AI technologies and recommend practical applications that can improve RCM productivity, quality, scalability, and client outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline preferred.
• 3+ years of professional software development experience preferred.
• Demonstrated experience developing or integrating AI/ML or generative AI solutions into production applications.
• Strong proficiency in Python and experience with relevant programming languages and frameworks.
• Experience working with REST APIs, databases, cloud platforms, Git/version control, CI/CD, and modern software development practices.
• Experience with LLM APIs, prompt engineering, retrieval-augmented generation (RAG), embeddings/vector databases, AI agents, or similar technologies preferred.
• Knowledge of SQL and experience working with structured and unstructured datasets.
• Experience with AWS, Azure, or Google Cloud …