AI Engineer Agentic AI Platform

What you'll build
A multi-agent AI layer that connects 6 enterprise systems (NetSuite ERP, Oracle WMS, [protected info] CRM/Accounting, Microsoft 365, Google Workspace) and turns fragmented business data into actionable intelligence for CFO/CEO/COO - automated alerts, morning briefings, inventory insights, and cash flow forecasts.
Your role & responsibilities
• Build and maintain LangGraph agents (ReAct pattern) that orchestrate multi-step reasoning across ERP, WMS, and accounting data.
• Develop MCP connectors (FastMCP 2.x) to integrate external business APIs - NetSuite SuiteQL, [protected info], MS365, Google Workspace.
• Design agent skills (prompt engineering + output schemas) for inventory analysis, cash flow forecasting, dead stock detection, and supplier signal extraction.
• Build document ingestion pipelines: PDF, Word, Excel → structured data - layout parsing, table extraction, OCR for scanned documents.
• Build RAG pipelines to let agents retrieve from internal docs (SOPs, product catalog, historical alerts) to explain decisions and suggest next steps.
• Work with the LLM gateway (LiteLLM) to manage model routing, cost guardrails, and observability (Langfuse tracing).
• Build async Python services (FastAPI) and wire agent-to-agent communication via Redis Streams.
• Write unit tests for engine logic and integration tests with real Postgres + Redis (testcontainers).