AI Software Engineer
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About Jorie AI Jorie AI occupies a uniquely interconnected position at the center of the healthcare industry. As an inseparable part of today's healthcare billing ecosystem, we use leading-edge, AI-infused Robotic Process Automation (RPA) to transform end-to-end Revenue Cycle Management (RCM) and provide premier financial and practice management services. Our Work Environment Remote-First: 100% remote opportunities within the USA. Career Growth: Significant potential for advancement. Work-Life Balance: Flexible environment promoting personal well-being. Culture: Collaborative and friendly company atmosphere. Benefits & Perks Financial: 401(k) matching up to 4%. Health: Comprehensive Medical, Dental, and Vision insurance. Security: Employer-paid Life insurance ($25,000) plus Long/Short Term Disability. Time Off: 2 weeks PTO and 10.5 paid holidays. Job Overview We are seeking talented Software Engineers to join our Special Projects Team . In this role, you will contribute to high-impact R&D projects focused on RPA, AI, and Revenue Cycle Management. Reporting to the Engineering Manager for Special Projects, you will have the opportunity to shape novel technical initiatives from initial prototype to full production deployment. Key Responsibilities Develop & Implement: Design software solutions supporting RPA, AI, and healthcare automation. Code Quality: Write clean, testable, and maintainable code, primarily in Python . Integrate: Connect AI/ML models, APIs, and healthcare data systems (FHIR, HL7, EDI). Collaborate: Partner with the team to define technical requirements and architecture. Test & Deploy: Conduct unit/integration testing and support deployment via CI/CD and containerization. Compliance: Maintain strict adherence to industry standards, including HIPAA and HITRUST . Qualifications Required: Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: 3+ years of professional software development experience. Technical Stack: Proficiency in Python , RPA, AI/ML frameworks, and cloud environments (Azure, AWS, or GCP). Healthcare Tech: Experience with healthcare APIs or interoperability standards (FHIR, HL7, EDI). Authorization: Must be legally authorized to work in the USA (No C2C, No Visa Sponsorship). Preferred: Experience with Docker , Git, and CI/CD pipelines. Exposure to NLP, anomaly detection, or predictive modeling. Background in healthcare automation or RCM systems. A collaborative mindset with a passion for solving complex healthcare challenges. Location & Hours Location: Remote (USA only). Standard Hours: Monday–Friday, 8:00 AM – 5:00 PM CST. Flexibility: Occasional flexible hours may be required based on project needs.
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