GenAI Architect: GraphRAG & Knowledge Graphs Lead

MACHINE LEARNING TECHNOLOGIES LLC; Mettawa (IL); On-site; USD 110,000 - 193,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Mettawa, IL is seeking a Senior AI Developer to design and implement GenAI systems, including GraphRAG pipelines and knowledge graphs, with production-grade deployment.

You will collaborate with data scientists, build scalable data pipelines, and lead AI architecture initiatives while applying best practices in CI/CD and responsible AI.

Qualifications include 7+ years in software or AI engineering, strong Python skills, Neo4j experience, and GCP deployment.

Qualifications

• 7+ years of experience in software development or AI engineering.
• Strong portfolio of production-ready AI projects.
• Experience with Graph databases and GenAI concepts.

Responsibilities

• Architect and implement end-to-end GenAI solutions (RAG pipelines, AI agents).
• Design and maintain large-scale knowledge graphs (Neo4j) and graph algorithms.
• Develop GraphRAG pipelines integrating vector databases and knowledge graphs.
• Collaborate with data scientists/ML engineers to fine-tune LLMs and optimize performance.
• Build scalable data pipelines for ingestion, embedding generation, preprocessing, and retraining.
• Provide technical leadership and guide junior developers; drive best practices in CI/CD and responsible AI.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

Neo4j

Cypher

GenAI

RAG

GCP

Education

Bachelor's or master's in CS/Engineering/Data Science

Tools

Neo4j

Google Cloud Platform

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Mettawa, IL is seeking a Senior AI Developer to design and implement GenAI systems, including GraphRAG pipelines and knowledge graphs, with production-grade deployment.

You will collaborate with data scientists, build scalable data pipelines, and lead AI architecture initiatives while applying best practices in CI/CD and responsible AI.

Qualifications include 7+ years in software or AI engineering, strong Python skills, Neo4j experience, and GCP deployment.