Senior Graph Engineer: Enterprise Knowledge Graphs (Hybrid)

Evolver; Iowa; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid working model

Career growth opportunities

Job summary

Evolver is seeking a Senior Graph Engineer to design and deploy graph-based systems that connect structured and unstructured enterprise data. You will lead efforts in knowledge graphs, graph retrieval, and AI integration, collaborating with AI engineers and domain experts.

The role emphasizes scalable graph architectures, data quality, and reliable pipelines. Hybrid work is offered, with opportunities to advance technical leadership and impact across AI-enabled applications.

Qualifications

• 6+ years of professional software engineering experience with strong Python.
• 2+ years building graph-based applications, knowledge graphs, or graph data platforms.
• Experience using knowledge graphs in AI/agentic applications to support Graph-RAG retrieval.

Responsibilities

• Design scalable knowledge graphs with schemas, ontologies, entities and relationships.
• Build pipelines to connect data from documents, databases, and external systems.
• Implement entity matching, deduplication, provenance tracking for data quality.
• Develop graph-based retrieval and integrate with vector search and AI agents.
• Optimize graph queries, indexing and storage; implement testing and recovery practices.
• Develop production-grade Python services and APIs for graph ingestion and querying.

Skills

Python

Graph technologies

Knowledge representation

Data integration pipelines

Entity resolution

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Equivalent practical experience

Tools

Neo4j

Amazon Neptune

Azure Cosmos DB

Cypher

Gremlin

SPARQL

Job description

Evolver is seeking a Senior Graph Engineer to design and deploy graph-based systems that connect structured and unstructured enterprise data. You will lead efforts in knowledge graphs, graph retrieval, and AI integration, collaborating with AI engineers and domain experts.

The role emphasizes scalable graph architectures, data quality, and reliable pipelines. Hybrid work is offered, with opportunities to advance technical leadership and impact across AI-enabled applications.