Application Software Developer

Application Software Developer III

Role Summary: Build Agentic AI for the Financials SaaS

 

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 on real customer data at global scale while meeting the bar finance demands: 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.

 

What you’ll do
•   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

What we’re looking for
•   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

What you’ll learn (career acceleration)
•   How ERP + financial workflows operate at enterprise scale
•   How to build safe, controlled agentic systems (evaluation, guardrails, HITL oversight)
•   How prompts, data, and tool-use come together in production
•   How to deliver innovation through cross-functional execution and customer adoption

About Fusion Receivables and our operating principles
Oracle Fusion Receivables is a cornerstone of the Order-to-Cash lifecycle—billing, payments, cash application, and accounts receivable for businesses worldwide. As we evolve it with agentic AI, we hold a non-negotiable standard: trust in finance requires explainability, security, and predictable behavior.

 

• Design, build, and enhance agent workflows, including prompts, tools, orchestration, and multi-step reasoning patterns.
• Prototype, test, and deliver production-ready agentic AI experiences to improve receivables outcomes.
• Develop deep understanding of Fusion Receivables’ flows, business logic, and integrations to ensure effective, grounded solutions.
• Collaborate with engineering, architecture, product, and UX teams to deliver end-to-end features.
• Ensure solutions are reliable, transparent, and secure by implementing robust evaluation, guardrails, and human-in-the-loop (HITL) processes.
• Break down complex business and technical challenges into scalable, safe, and maintainable solutions.
• Continuously learn and adapt to advancements in AI, LLMs, and financial systems to drive innovation and user-centric outcomes.

Career Level - IC3

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.

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Experience Level

Senior Level