Applications Developer

OracleRedwood City, CA
1d

About The Position

At Oracle Financials SaaS Applications, we’re at a historic inflection point. For decades, enterprise finance systems have depended on static rules and manual processes. We are leading a major shift—embedding intelligent, agentic AI directly into the financial core of the world’s largest enterprises. This is about more than adding AI features: it’s about transforming software from a tool into a true teammate that can reason, plan, and act within high-stakes workflows—like dispute resolution, cash application, and collections—while meeting the highest standards of accuracy, security, and trust. This is a chance to work with real customer data at a global scale while meeting the high standards of finance: accuracy, security, and explainability. We’re hiring early-career engineers (2–4 years) who want to grow quickly in applied AI + enterprise systems. You don’t need to be an AI specialist yet—strong fundamentals, curiosity, and ownership matter most.

Requirements

  • Around 2 years professional software engineering experience (Java/Python/SQL or similar), building scalable systems
  • Some exposure to AI/ML, LLMs, or agentic frameworks (work, coursework, hackathons, or personal projects)
  • Ability to break complex problems into clean solutions; strong debugging/analysis habits
  • Interest in learning the business context behind decisions and workflows
  • A builder mindset: curiosity, experimentation, and a bias to ship responsibly

Responsibilities

  • Build and improve agent workflows: prompts, tools, orchestration, and multi-step reasoning patterns
  • Prototype, test, and ship production agentic experiences that improve receivables outcomes
  • Develop fluency in Fusion Receivables (flows, business logic, integrations) to ground solutions in real operations
  • Partner with engineering, architecture, product, and UX to deliver end-to-end features
  • Design for reliability and transparency: evaluation, guardrails, human-in-the-loop, and clear explanations
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