This is a hybrid engineering role for someone who builds autonomous, agentic AI systems and is comfortable integrating them into a live ERP landscape. You will design Large Language Model-based agents that plan, reason, and use tools. These agents will implement multi-step Finance and Procurement workflows with minimal human intervention. These agents will connect safely into Oracle Fusion processes. Your work will let us build AI-driven automation internally, promoting this capability directly alongside our Oracle developers.
You will work on site at our office in Petaling Jaya, Malaysia.
The Critical Tasks You Will Perform
- Develop autonomous AI agents that plan, reason, and complete Finance and Procurement workflows across O2C, R2R, and P2P.
- Integrate agents with Oracle Fusion Cloud, external APIs, and databases so they can take actions in production ERP processes.
- Improve model and agent performance through prompt engineering and retrieval-augmented generation (RAG) architectures.
- Build evaluation and testing frameworks that measure agent reliability, accuracy, and safety.
- Implement and maintain guardrails and human oversight for automated finance workflows.
- Break down complex, multi-step business processes into components suitable for AI implementation.
- Set technical direction and engineering standards, and guide peers on agentic AI and ERP integration patterns.
You will need
- 3+ years in software engineering, including 5+ years designing and building scalable systems.
- AI engineering skills: Python, API design, and hands-on experience building with large language models.
- Experience with AI/ML fundamentals, data structures, and algorithms.
- Backend proficiency across databases, microservices, and system architecture.
- Experience deconstructing complex business tasks into steps an AI system can implement.
- Bachelor's degree in Computer Science, Software Engineering, IT, or equivalent practical experience.