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Job Title: AI Data Integration Engineer (RCM Systems)
Location | Remote
Time Zone | US Time Zones (EST-PST)
Role Overview
We are seeking an AI Data Integration Engineer to support a healthcare revenue cycle management (RCM) company. The company is moving its legacy RCM platforms (MD Suite, PrognoCIS, CareTracker and Cortex) onto a new central platform. You will build the data models, mappings, pipelines and data quality checks behind the migration. You will use AI/LLM tools every day to speed up mapping and catch data issues early. The adecuado candidate is hands-on and comfortable working with legacy systems that have little documentation.
Key Responsibilities
- Build data models and source-to-target mapping specs from Practice Management (PM) systems such as MD Suite, PrognoCIS, CareTracker and Cortex to the new platform
- Use AI/LLM tools to speed up schema mapping, field reconciliation and data quality checks




- Design and build ETL pipelines and REST/SOAP APIs to move data into the new platform
- Cleanse, structure and enrich source data into the required target format
- Monitor, troubleshoot and resolve integration issues in production
- Work closely with the AI Architect, product, engineering and operations teams
- Maintain clear documentation of data models, mapping specs and pipeline configurations

Required Qualifications
- Minimum of 5 years of experience in data/system integration or ETL engineering, building production integrations with complex legacy systems
- Hands-on experience using AI/LLM APIs (such as OpenAI or Azure OpenAI) for schema mapping, entity resolution or automated data quality checks
- Strong SQL skills and experience with relational databases
- Working knowledge of Python and JavaScript (or similar scripting languages)
- Experience building REST and SOAP APIs and working with JSON, XML, CSV, flat-file and EDI formats
- Understanding of HIPAA and

📌 AI Data Integration Engineer (Argentina)
🏢 hirehangar
📍 Argentina