Senior Software Developer – Healthcare Analytics & AI

Ll Oefentherapie

Dover (DE)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Oracle Health is modernizing health record and revenue cycle management systems with AI-enabled data processing and analytics. We’re seeking senior AI engineers to design cloud-based pipelines handling large EHR/RCM datasets, enabling KPI dashboards and insights.

You will apply LLMs, AI agents, and modern platforms to solve clinical decision support, revenue optimization, and workflow automation challenges, while prototyping with AI-driven tools for rapid delivery.

Qualifications

  • BS/MS in Computer Science or equivalent.
  • 5+ years of relevant software engineering experience.
  • Strong software engineering skills in Python/Java.
  • Strong knowledge of SQL.
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL).
  • Experience building high-scale distributed data systems.
  • Cloud experience (OCI/AWS/Azure).
  • Experience with creating major new functionality in a software system from design to production deployment.
  • Experience collaborating across multiple functional areas to develop components that are part of a larger system.
  • Experience with LLMs, prompt engineering, and agent frameworks.

Responsibilities

  • Build and enhance data pipelines, ETL workflows, and transformations.
  • Contribute to LLM/agent-based features and analytics use cases.
  • Work with EHR/RCM datasets and support KPI/dashboard development.
  • Learn and apply best practices in cloud, data engineering, and LLMOps.

Skills

Python
Java
SQL
ETL
Data Modeling
Spark
Distributed Systems
Cloud
LLM/AI
Prompt Engineering
Production Deployment
Team Collaboration

Education

BS/MS in Computer Science

Tools

OCI
AWS
Azure
Spark

Job description

About the Role

At Oracle Health, we’re building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Key Responsibilities
  • Build and enhance data pipelines, ETL workflows, and transformations.
  • Contribute to LLM/agent-based features and analytics use cases.
  • Work with EHR/RCM datasets and support KPI/dashboard development.
  • Learn and apply best practices in cloud, data engineering, and LLMOps.
Mandatory Qualifications
  • BS/MS in in Computer Science or equivalent.
  • 5+ years of relevant software engineering experience.
  • Strong software engineering skills in Python/Java.
  • Strong knowledge of SQL.
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems.
  • Cloud experience (OCI/AWS/Azure).
  • Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
  • Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
  • Experience with LLMs, prompt engineering, and agent frameworks.
  • Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
  • Experience using the ChatGPT, Claude or similar models on a routine basis to improve productivity.
Preferred Qualifications
  • Experience with agentic architectures or GenAI platforms.
  • Background in healthcare or digital health systems.
  • Understanding of EHR systems and RCM workflows.
  • Familiarity with healthcare coding standards (ICD/CPT).
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