Backend Engineer - Python AI

RiVi Consulting Group L.L.C; Green Bay (WI); On-site; USD 115,000 - 155,000; Full time

Job summary

RiVi Consulting Group L.L.C is seeking an engineer to scale our backend infrastructure and deepen our agentic capabilities. You will build memory layers, RAG pipelines, and ontological structures to allow our AI to assist logistics professionals.

You will implement production-grade asynchronous Python (FastAPI/Pydantic), work with LangChain, knowledge graphs, and vector databases, and optimize performance in a fast-paced environment. Remote-friendly or hybrid options are available.

Qualifications

• Expert Python engineering with production-grade, asynchronous code (FastAPI/Pydantic).
• Hands-on experience with LangGraph, DSPy, or LangChain; understanding of state management, agent loops, and tool-calling.
• Experience building or working with ontologies and knowledge graphs.
• Implementation of long-term memory using vector databases and schemas.
• Experience with RAG optimization and/or fine-tuning LLMs for domain-specific reasoning.
• GCP experience or familiarity is preferred.

Responsibilities

• Build memory layers, RAG pipelines, and ontological structures to enable AI co-pilot for logistics professionals.

Skills

Python

Memory management

Ontologies & knowledge graphs

RAG optimization

Domain reasoning

Ambiguity tolerance

Fast-paced environment

Tools

LangChain

LangGraph

DSPy

FastAPI

Pydantic

Vector databases

GCP

Job description

We are looking for an engineer to help scale our backend infrastructure and deepen our agentic capabilities. This individual will not just be wrapping APIs; they will be building the memory layers, RAG pipelines, and ontological structures that allow our AI to serve as a true co-pilot for logistics professionals.

Technical Requirements

• Expert Python Engineering: Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and scalability.
• Agentic Frameworks & Reasoning: Hands-on experience with LangGraph, DSPy, or LangChain. Must understand state management, agent loops, and reliable tool-calling. Experience with evaluations is a significant bonus.
• Knowledge Graphs & Ontologies: Experience building or working with ontologies.
• Advanced Memory Management: Implementation of "long-term memory" using vector databases and schemas to maintain context over long horizons.
• RAG & LLMs: Experience with RAG optimization (reranking, query transformation) and/or fine-tuning LLMs for domain-specific reasoning.
• Experience with GCP is preferred

Core Competencies

• Quick learner with high agency.
• Comfort with ambiguity and a sense of extreme ownership.
• Experience working in a fast paced environment.