Senior Software Developer – Healthcare Analytics & AI

Oracle Corporation; Dover; On-site; USD 140,000 - 200,000; Full time

Job summary

Oracle Health is seeking highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive healthcare data with low latency. You will leverage LLMs, AI agents, and modern data platforms to address clinical decision support, revenue optimization, and workflow automation.

Join a team modernizing EHR and RCM systems, collaborating across multiple functions to deploy AI-driven solutions from design to production.

Qualifications

• BS/MS in Computer Science or equivalent.
• 5+ years of relevant software engineering experience.
• Strong skills in Python/Java.
• Strong knowledge of SQL.

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 data systems

Cloud platforms

LLMs

Prompt engineering

Agent frameworks

Production deployment

ChatGPT/Claude tooling

Education

BS/MS in Computer Science or equivalent

Tools

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).