AI Engineer with Graph Experience

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.

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