Senior Graph Engineer (Python)

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

About Us

We are an innovative AI startup focused on transforming professional services through Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans when needed to maximize efficiency and accuracy. Join us to build the knowledge infrastructure that connects enterprise information and powers intelligent applications.

Role Overview

We are looking for an experienced Python engineer with deep expertise in graph technologies and knowledge representation to join our Data & Knowledge team. As a Senior Graph Engineer, you will lead the design, development, and deployment of graph-based systems that connect structured and unstructured data, support complex queries, and improve AI retrieval and reasoning. You will work closely with AI engineers and domain experts to turn enterprise information into reliable, actionable knowledge.

Key Responsibilities

• Graph Architecture and Modeling:Design and build scalable knowledge graphs, defining schemas, ontologies, entities, and relationships that reflect complex business domains.
• Data Integration:Build pipelines that extract, normalize, and connect data from documents, databases, and external systems, with support for incremental updates.
• Entity Resolution and Data Quality:Implement entity matching, deduplication, relationship validation, and provenance tracking to maintain trustworthy graph data.
• Graph Retrieval and AI Integration:Develop graph-based retrieval capabilities and integrate them with vector search, RAG systems, and AI agents.
• Performance and Reliability:Optimize graph queries, indexing, and storage; implement testing, monitoring, access controls, and recovery practices.
• Python Development:Develop production-grade services, APIs, and pipelines for graph ingestion, querying, and integration with enterprise applications.

Qualifications

Experience

• 6+ years of professional software engineering experience, with strong expertise in Python.
• 2+ years of hands‑on experience developing graph-based applications, knowledge graphs, or graph data platforms
• Ideally, experience using knowledge graphs in AI/agentic applications to support graph or hybrid Graph‑RAG retrieval

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Technical Skills

• Advanced proficiency in Python and libraries like NetworkX, Pandas, NumPy, or similar.
• Strong understanding of graph data modeling, graph traversal, indexing, and query optimization.
• Hands‑on experience with a graph database such as Neo4j, Amazon Neptune, or Azure Cosmos DB for Apache Gremlin.
• Proficiency in a graph query language such as Cypher, Gremlin, or SPARQL, with an understanding of property graph or RDF models.
• Experience building data ingestion and transformation pipelines across structured and unstructured sources.
• Familiarity with entity resolution, ontology design, data lineage, and graph data quality practices.
• Familiarity with knowledge graphs in AI applications, including GraphRAG, hybrid graph and vector retrieval, or agent tools, is a plus.

Soft Skills

• Excellent communication skills, including the ability to explain graph concepts and technical tradeoffs to nontechnical stakeholders.
• Strong analytical and problem‑solving skills, with attention to data quality and system reliability.
• Ability to own projects from design through deployment and collaborate across disciplines.
• Comfortable navigating ambiguity and evolving priorities in a fast‑paced startup.
• Competitive Compensation:Tailored to your experience and skill set.
• Flexible Work Arrangements:Hybrid working model for work-life balance.
• Career Growth:Opportunities for professional development and technical leadership.
• Innovative Culture:Build technologies that connect enterprise knowledge and power the next generation of AI applications.

U.S. Standard Demographic Questions

We invite applicants to share your demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.

How would you describe your gender identity? Select...

How would you describe your racial/ethnic background? Select...

How would you describe your sexual orientation? Select...

Do you identify as transgender? Select...

Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select...

Are you a veteran or active member of the United States Armed Forces? Select...