Job Description
We are modernizing Electronic Health Record and Clinical Analytics 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.
Mandatory Qualifications
- BS/MS in Computer Science or equivalent.
- 4+ 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 modelling (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 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).
Responsibilities
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.
- Seeks input from team members on alternative approaches and methods for improving work.
Qualifications
Career Level - IC3
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [Confidential Information] or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
