REMOTE -Principal Software Developer- Agentic AI, Healthcare AI

Oracle•United States,

8d•$114,600 - $234,600•Remote

About The Position

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 [email protected] [[email protected]] 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.

Requirements

Principal Software Developer
Agentic AI
Healthcare AI

Responsibilities

Architect, design, develop, deploy, and operate production-grade AI systems powered by LLMs, agents, retrieval, and enterprise data.
Build agentic AI systems that leverage tool use, memory, planning, orchestration, and workflow automation to solve complex business problems.
Design and implement scalable RAG, search, retrieval, ranking, and knowledge systems across structured and unstructured data sources.
Develop LLM-powered applications, including prompt and context engineering, tool integrations, model routing, guardrails, and workflow orchestration.
Optimize AI systems for quality, latency, reliability, scalability, observability, and cost efficiency.
Establish evaluation frameworks, experimentation platforms, and feedback loops to continuously improve AI system performance and user outcomes.
Build and maintain cloud-native services, APIs, SDKs, and distributed systems that enable reliable development and operation of AI capabilities.
Design and support asynchronous communication patterns, event-driven architectures, and workflow orchestration using messaging and streaming technologies.
Partner closely with applied scientists, engineers, product managers, and domain experts to translate ambiguous requirements into scalable technical solutions.
Drive architecture decisions, mentor engineers, and raise engineering standards across the organization.