Senior Engineer, Finance Systems

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 Bangalore, India.

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.