Senior Software Developer - AI & Healthcare Data Engineering

Software Developer 3, Oracle Health

We are modernizing Electronic Health Record (EHR) and Revenue Cycle Management (RCM) systems using LLMs and AI agents, helping clinicians spend more time with patients and less time on administrative tasks.

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

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

Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python and/or Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering, including ETL, data transformation, and data modeling (Spark, SQL).
• Experience building large-scale distributed data systems.
• Experience with cloud platforms such as OCI, AWS, or Azure.
• Demonstrated technical leadership and system design experience on complex SaaS/IaaS projects spanning multiple functional areas.
• Ability to translate ambiguous product and business requirements into scalable technical solutions.
• Experience partnering with cross-functional teams to define technical requirements and component-level designs.
• Proven ownership of the design, development, testing, and deployment of features spanning multiple components.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience combining hands-on coding with AI-driven tools to rapidly prototype, iterate, test, and deliver high-quality solutions.
• Experience using ChatGPT, Claude, or similar AI models to improve engineering 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 such as ICD and CPT.