Senior Data AI Engineer – Medical Provider Credentialing (Python, AI)

Senior Data AI Engineer – Medical Provider Credentialing (Python, AI) Remote- flexible hours as long as you are available between 8-6 EST Role Overview We are seeking a Senior Data / AI Engineer with deep Python backend expertise, hands-on experience in medical provider credentialing, and a strong track record building large-scale web automation and crawling systems. This role focuses on developing backend services and AI-assisted workflows that automate complex, real-world provider credentialing, verification, and enrollment processes across fragmented and often inconsistent data sources. This is a short-term 3 month contract engagement, with a strong likelihood of extension based on successful delivery of an initial proof of concept. Must-Have Qualifications • Strong backend engineering experience in Python, including production-grade services and data pipelines • Hands-on experience using Claude-based AI tooling (Claude APIs, prompt engineering, AI-assisted workflows) • Direct experience with medical provider credentialing, including: • Provider enrollment • Licensure verification • Sanctions checks • Payer credentialing and re-credentialing workflows • Proven experience building robust web crawlers and automation systems. • Demonstrated ability to handle real-world automation challenges, including: • Authentication and session management • Rate limiting and retries • CAPTCHA or anti-bot defenses • Frequent UI, layout, or workflow changes • Strong understanding of backend architectures, APIs, and data processing pipelines • Bachelor’s degree in Computer Science, Engineering, or a related STEM field • Availability to work 8:00 AM – 6:00 PM EST to support close collaboration with product and stakeholder teams Nice-to-Have Experience • Experience with agentic AI frameworks or autonomous AI agents • Combining web crawlers with LLMs for intelligent extraction, validation, normalization, or decisioning • Familiarity with healthcare data standards, regulatory considerations, or compliance constraints • Experience building POCs that transition into production systems What You’ll Do • Design, build, and maintain scalable Python-based backend services • Develop and operate resilient web crawling and automation pipelines for provider credentialing data collection • Build systems that can reliably extract and normalize data from dynamic, real-world web sources • Integrate Claude-based AI capabilities to: • Assist with data extraction and interpretation • Normalize inconsistent credentialing data • Automate decisioning and workflow steps • Collaborate closely with product, data, and AI teams to rapidly iterate and deliver high-impact solutions • Ensure systems meet expectations for performance, reliability, observability, and maintainability