Software Developer 4
About The Position
AI/ML Engineer with hands-on experience to build production-grade multi-agent AI applications, Agentic RAG knowledge assistants, and scalable ML pipelines. candidate should have strong applied AI background in distributed reasoning, retrieval-augmented architectures, and cloud-native deployment (Kubernetes, Docker, FastAPI), plus data science experience with large-scale consumer data modeling. good to have experience experience with impact improving reliability, latency, and model quality (e.g., reduced hallucinations, faster inference, higher multi-hop accuracy) 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] 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
- hands-on experience to build production-grade multi-agent AI applications
- Agentic RAG knowledge assistants
- scalable ML pipelines
- strong applied AI background in distributed reasoning
- retrieval-augmented architectures
- cloud-native deployment (Kubernetes, Docker, FastAPI)
- data science experience with large-scale consumer data modeling
Nice To Haves
- experience with impact improving reliability, latency, and model quality (e.g., reduced hallucinations, faster inference, higher multi-hop accuracy)
Benefits
- competitive benefits that support our people with flexible medical, life insurance, and retirement options
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
