Senior Graph AI & Inference Engineer

Photon; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Photon is seeking a senior Graph AI Platform Engineer to design, build, and operate reusable toolkits for Gen AI RAG capabilities. You will deliver complex requirements, ensure compliance, and design for maintainability and testability across enterprise-scale systems.

You will collaborate with architects, data scientists, and AI engineers to deploy graph databases, ML models, and scalable APIs. Strong Python, knowledge graphs, and experience with Neo4j or TigerGraph are essential.

Qualifications

• Bachelor's or Master's in CS, Engineering, Data Science, AI, Mathematics, or related technical discipline.
• 6+ years of software engineering experience with strong Python expertise.
• Hands-on experience with enterprise graph databases including Neo4j and/or TigerGraph.
• Strong experience designing, developing, and managing large-scale Knowledge Graph platforms.
• Experience with Graph Analytics, ML deployment, and graph-based model development.

Responsibilities

• Develop graph APIs, microservices, and platform components for graph workloads and AI-enabled applications.
• Design and build Knowledge Graphs, Ontology frameworks, semantic models, and graph-powered applications.
• Implement data processing pipelines leveraging graph databases and distributed frameworks.
• Collaborate with architects, data scientists, AI engineers, ontology engineers, and business stakeholders.
• Participate in design reviews, sprint planning, and governance to ensure enterprise standards.

Skills

Python

Graph Databases

GSQL

APIs & Microservices

Education

Bachelor's or Master's in CS/Eng/Math or related field

Tools

Neo4j

TigerGraph

DGL

PyTorch Geometric

Job description

Photon is seeking a senior Graph AI Platform Engineer to design, build, and operate reusable toolkits for Gen AI RAG capabilities. You will deliver complex requirements, ensure compliance, and design for maintainability and testability across enterprise-scale systems.

You will collaborate with architects, data scientists, and AI engineers to deploy graph databases, ML models, and scalable APIs. Strong Python, knowledge graphs, and experience with Neo4j or TigerGraph are essential.