AI Engineer, Revenue Cycle Management
Employment type
Full-time
Work setting
Remote
Location
Remote
Schedule
Day shift
Posted
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Job overview
The AI Engineer, Revenue Cycle Management role is fully remote, with Minneapolis, MN listed as the location. Compensation is not specified. The role develops AI solutions for revenue cycle management (RCM) use cases and works with data engineers and cross-functional teams. The engineer builds and deploys machine learning, deep learning, and generative AI capabilities to address operational and product needs. The work contributes by turning data and requirements into production-quality models, pipelines, and insights that support workflow optimization and adoption of AI solutions.
What you'll do
- Develop machine learning, deep learning, and generative AI models for RCM use cases
- build end-to-end ML pipelines
- research and apply LLM, embedding, retrieval-augmented generation, prompt-engineering, and document-intelligence techniques
- translate requirements into model objectives and evaluation frameworks
- conduct exploratory data analysis
- apply MLOps practices including versioning, reproducibility, feature stores, and drift monitoring
- partner with data engineers on data quality and scalable deployment
- communicate findings and model results to cross-functional teams.
What we're looking for
- Skills & competencies
- ai engineermachine learninggenerative airevenue cycle managementdatabrickspythonsqlazurellmsragfully remoteminneapolis mntekfortune
- Work arrangement
- Weekend coverage required
Why this role
The posting describes a 12-month duration with possible extension. Requires 3–7 years of applied ML or AI experience, Databricks, Python, SQL, AI coding-assistant experience, and experience in Azure or a similar cloud environment; healthcare experience is strongly preferred.
About the employer
Tekfortune Inc. is hiring for this role. Industry: Other Computer Related Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Other Computer Related Services
- Occupation code
- 15-1221.00
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Listing ID: 74453a55-1ddb-4c05-b8c7-7f8d51f5c485