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Remote Knowledge Graph Software Engineer Jobs (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY · Remote

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling.

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Knowledge graph implementation (Neo4j preferred). * LLM optimization & improved response handling.

Twilio

Principal Software Engineer - Identity Graph

$138K - $185K/yr

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... Deeply collaborate with the engineering team, prioritizing mentorship, knowledge-sharing, and ...

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Remote Knowledge Graph Software Engineer information

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$63.5K

$147.5K

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How much do remote knowledge graph software engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote knowledge graph software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote knowledge graph software engineer?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a remote knowledge graph software engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a remote knowledge graph software engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
More about Remote Knowledge Graph Software Engineer jobs
What cities are hiring for Remote Knowledge Graph Software Engineer jobs? Cities with the most Remote Knowledge Graph Software Engineer job openings:
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Remote Knowledge Graph Software Engineer jobs near you
Infographic showing various Remote Knowledge Graph Software Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Knowledge Graph Engineer

Squirro

New York, NY • Remote

Full-time

Re-posted 24 days ago

Job description

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph–driven SaaS solutions for enterprise customers.


What You’ll Do

As a Knowledge Graph Engineer, you will work closely with customers and internal product and engineering teams to design and deploy semantic and knowledge graph solutions that deliver measurable business value.


  • Client Engagement & Solution Delivery: Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph–based solutions.
  • Semantic Modeling & Knowledge Graph Design: Develop and maintain taxonomies, ontologies, and classification models. Design semantic structures that align user needs with business objectives.
  • Cross-functional Collaboration: Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions.
  • Product Contribution & Customer Feedback: Gather and prioritize client requirements, contribute ideas to the product roadmap, and support product positioning through demos, content, and customer-facing activities.


What You Bring

You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.


  • Strong Python experience
  • Experience in customer-facing roles within software or SaaS environments
  • Strong communication and presentation skills
  • Practical experience developing taxonomies, ontologies, and knowledge graphs
  • Experience managing human and/or machine classification
  • In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL)
  • Familiarity with graph databases, particularly RDF graph databases
  • Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
  • Ability to collaborate effectively across technical and non-technical teams


What we offer


  • Drive growth in a dynamic, high-potential tech environment
  • Enjoy autonomy with our "freedom and responsibility" work approach
  • Collaborate with exceptional talent solving extraordinary challenges
  • Drive customer success and retention while enjoying a flexible environment focused on growth
  • Make a strategic impact while having fun with awesome colleagues


About Squirro

Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organization’s unique enterprise ontology.

Further information about AI-driven business insights can be found at:
https://squirro.com/