Agentic AI Engineer

About the role

The Agentic AI Engineer is responsible for designing and building the cognitive architecture of AI agents that interact with enterprise ERP systems.

What you'll do

• Design the reasoning framework for how agents decompose complex ERP tasks into structured decision trees with governance checkpoints at each stage
• Architect dynamic tool selection strategies where agents choose which MCP tools to invoke based on context, confidence
• Design conversation state management for long-running agent sessions that span multiple interactions, tool calls, and human-in-the-loop approvals
• Build confidence scoring frameworks that translate LLM output uncertainty into actionable governance decisions (proceed, verify, escalate, halt)
• Design A2A (Agent-to-Agent) communication patterns for collaborative workflows where multiple specialized agents contribute to a single business outcome

What you need

• 4–6 yrs of experience
• Python
• Machine learning
• LLMs
• ERP
• Java
• SAP
• Any graduate

Good to have

• Regression testing
• Oracle Fusion
• Technical writing
• Prompt engineering
• VMware