Saviance · 5 hours ago
Senior Data AI Engineer – Medical Provider Credentialing (Python, AI)
Saviance is seeking a Senior Data / AI Engineer with deep Python backend expertise for a short-term contract role. The position involves developing backend services and AI-assisted workflows to automate medical provider credentialing processes across various data sources.
Information Technology & Services
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
Qualification
Required
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
Preferred
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