Senior Backend AI Engineer- Healthcare Provider

BigRio is seeking a Senior Backend AI Engineer specialized in the healthcare sector. This role focuses on developing backend services and AI-assisted workflows to automate complex provider credentialing and verification processes.

Responsibilities:

• 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

Requirements:

• 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: Licensure verification, Sanctions checks, Provider credentialing or Payor Enrollment
• 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, microservices, 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
• Experience with agentic AI frameworks or autonomous AI agents
• Writing Crawler experience (such as: Scrapy, Apache Nutch, Heritrix)
• Familiarity with healthcare data standards, regulatory considerations, or compliance constraints
• Experience building POCs that transition into production systems