Agentic AI Engineer: Enterprise Automation (Oracle & Business Systems)

• Build production agents and LLM-driven automation across lead pipelines, CRM, sales and marketing workflows
• Build finance and procurement copilots and automations, such as supplier onboarding, reconciliation, approvals, month-end support and exception triage
• Connect agents to enterprise systems (Oracle EBS, CRM, banking and internal platforms) through APIs, interface tables and middleware, exposing functions as agent tools via MCP or equivalent
• Design human-in-the-loop checkpoints, audit trails and rollback paths for anything that touches financial data
• Build test agents that exercise integrations end-to-end and catch breakage early
• Work with Oracle specialists, business stakeholders and fellow AI engineers to turn real processes into reliable automation

Must-Haves

• 3+ years in software or AI engineering, with proven hands-on agentic AI work (tool calling, MCP,

LangChain/LangGraph or similar)

• Strong Python and API development (FastAPI or similar)
• Production LLM experience on a major platform (AWS Bedrock, Azure OpenAI, Anthropic or OpenAI APIs)
• Working knowledge of Oracle E-Business Suite concepts: finance and procurement flows (AP/AR/GL/PO),

interface tables, PL/SQL basics

• Experience integrating systems through REST/SOAP APIs, CRM or other business platforms
• Daily user of AI coding tools (Claude Code, Cursor or Codex), able to explain and debug what they generate
• Clear communication with business and finance stakeholders

Nice-to-Have

• Hands-on Oracle EBS or ERP integration experience (OIC, SOA, ISG, Open Interface)
• CRM platforms (Salesforce or similar) and marketing automation
• Docker, CI/CD, cloud deployment
• Real estate domain knowledge (property management, project cost control, revenue recognition)
• Arabic

Process

A short technical assignment is required before profiles are reviewed.

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Work Location: Remote