Job Description

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.