Oracle
Redwood City, CA, USA
Job Description As part of the AI Applications team, you will design and build agentic systems that use LLMs to plan, reason, and take actions across complex workflows. In this role you will implement multi-step agent flows, integrate tools and enterprise systems, define outcomes and constraints, build evaluation suites, and iterate on self-correcting behavior. You will work at the intersection of backend engineering and applied ML, integrating LLMs, retrieval, enterprise data, and deterministic policy layers into safe, reliable agents capable of performing real tasks. Engineers who enjoy iterating on system behavior and improving agent reliability will excel in this role. Minimum Qualifications Bachelor's degree in Computer Science or equivalent experience. 3+ years of professional software development experience Strong coding skills in Java, Python and familiarity with LLM APIs and model outputs. Experience building backend services,...


