AI Engineer Agentic AI Platform
Công Ty Cổ Phần Udata
Thoả thuậnĐăng ngày: 6 ngày trước
Công Ty Cổ Phần Udata
What you'll build
A multi-agent AI layer that connects 6 enterprise systems (NetSuite ERP, Oracle WMS, Base.vn 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, Base.vn, 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).
• 1–2 years Python experience, comfortable with async (async/await, httpx, rag, agent, FastAPI).
• Hands-on with LangGraph or LangChain agents — tool calling, state machines, multi-step reasoning.
• Understands LLM patterns: prompt engineering, tool use, structured output (Pydantic), context window management.
• Familiar with RAG: embeddings, vector search (pgvector / Qdrant), chunking strategies, retrieval quality evaluation.
• Experience with document processing: PDF/Word/Excel parsing, OCR (PaddleOCR / Surya), layout analysis (Docling, PyMuPDF), table extraction.
• Can read and integrate REST APIs with auth (OAuth1/2, API keys).
• Writes production-ready code: type hints, tests, clear error handling.