AI Backend Engineer: Memory-first, RAG & Ontology Systems

RiVi Consulting Group L.L.C; Green Bay (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

RiVi Consulting Group L.L.C is seeking an engineer to scale our backend infrastructure and deepen our agentic capabilities for logistics-focused AI. You will help build memory layers, RAG pipelines, and ontological structures to enable the AI to act as a true co-pilot for logistics professionals.

The role requires expert Python engineering, hands-on experience with LangGraph, DSPy, or LangChain, and knowledge graphs/or ontologies, plus memory management using vector databases and schemas to

Qualifications

• Expert-level Python engineering for production-grade systems.
• Experience with memory layers, vector DBs, and long-term context.
• Familiarity with LangGraph, DSPy, LangChain and tool-calling.
• GCP experience is preferred.

Responsibilities

• Scale backend infrastructure and deepen agentic capabilities.
• Build memory layers, RAG pipelines, and ontologies for AI co-pilot.

Skills

Python engineering

Async Python

Agentic frameworks

LangGraph

Knowledge graphs

RAG optimization

GCP

Memory management

Tools

LangChain

DSPy

LangGraph

Pydantic

FastAPI

Vector databases

Job description

RiVi Consulting Group L.L.C is seeking an engineer to scale our backend infrastructure and deepen our agentic capabilities for logistics-focused AI. You will help build memory layers, RAG pipelines, and ontological structures to enable the AI to act as a true co-pilot for logistics professionals.

The role requires expert Python engineering, hands-on experience with LangGraph, DSPy, or LangChain, and knowledge graphs/or ontologies, plus memory management using vector databases and schemas to