AI Engineer with Graph Experience

Veriipro; Chicago (IL); Presencial; USD 120 000 - 160 000; Tempo integral

Resumo da oferta

Veriipro is seeking an AI Engineer to design and implement AI/ML solutions leveraging graph databases and knowledge graphs. The role focuses on building intelligent applications, graph representations of data, and scalable pipelines.

You will work with Neo4j, Cypher, and cloud platforms, applying Generative AI, LLMs, and RAG to enterprise use cases. Collaboration with data scientists and business teams is essential for success.

Qualificações

• Hands-on experience building AI solutions with graph databases and knowledge graphs.
• Experience with Neo4j, Cypher or similar graph query languages.
• Design and implement AI/ML solutions in Python.
• Develop graph-based data models for intelligent apps.
• Work with LLMs, Generative AI, RAG, and Agentic AI.
• Build APIs and data pipelines for AI-driven apps.

Responsabilidades

• Design, develop, and implement AI/ML solutions using Python.
• Build and maintain Knowledge Graphs and Graph Databases.
• Develop graph-based AI solutions to improve data discovery.
• Work with LLMs, Generative AI, RAG, and Agentic AI.
• Integrate graph technologies with AI models and enterprise apps.
• Work with graph databases such as Neo4j or Amazon Neptune.
• Develop APIs and data pipelines to support AI-driven apps.
• Collaborate with data scientists, architects, and business teams.

Conhecimentos

Python

AI/ML

Graph databases

Knowledge graphs

Neo4j/Cypher

GenAI/LLMs

REST APIs

Cloud platforms

Graph Neural Networks

LangChain

LlamaIndex

Vector databases

Semantic search

Agentic AI

Multi-Agent Systems

Descrição da oferta de emprego

ALL US VISA'S ARE ACCEPTED

BUT ONLY W2

Job Summary:

We are looking for an AI Engineer with experience in Artificial Intelligence, Machine Learning, and Graph Technologies. The candidate should have hands-on experience developing AI solutions using graph databases, knowledge graphs, and graph-based data models to build intelligent applications.

Key Responsibilities:

• Design, develop, and implement AI/ML solutions using Python and modern AI frameworks.


• Build and maintain Knowledge Graphs and Graph Databases to represent relationships between data entities.


• Develop graph-based AI solutions to improve data discovery, search, and reasoning capabilities.


• Work with LLMs, Generative AI, RAG, and Agentic AI applications.


• Integrate graph technologies with AI models and enterprise applications.


• Work with graph databases such as Neo4j, Amazon Neptune, or similar technologies.


• Develop APIs and data pipelines to support AI-driven applications.


• Collaborate with data scientists, architects, and business teams to deliver AI solutions.

Required Skills:

• Strong experience in Python and AI/ML.


• Knowledge of Graph Databases and Knowledge Graphs.


• Experience with Neo4j, Cypher, or similar graph query languages.


• Understanding of Generative AI, LLMs, and RAG.


• Experience with REST APIs and data integration.


• Knowledge of cloud platforms such as AWS, Azure, or GCP.

Preferred Skills:

• Graph Neural Networks (GNN).


• LangChain or LlamaIndex.


• Vector Databases and Semantic Search.


• Agentic AI and Multi-Agent Systems.