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Remote Knowledge Graph Software Engineer Jobs in Kansas City, MO

SolvdUS, Inc

Director, Software Engineering

Lenexa, KS · Remote

$160K - $180K/yr

Working knowledge of Blazor (Server or WebAssembly) or similar modern web UI frameworks ... Proven ability to lead and manage distributed, remote engineering teams effectively * Strong ...

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

The Software Engineer will work closely with the Technical Lead, Product Owner, QA Engineers, and ... Knowledge of MCP architecture and concepts. * Familiarity with Azure Functions or Azure App ...

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Remote Knowledge Graph Software Engineer information

See Kansas City, MO salary details

$62K

$144K

$200.5K

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

As of Aug 6, 2026, the average yearly pay for remote knowledge graph software engineer in Kansas City, MO is $143,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $168,800.00 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.
What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Kansas City, MO? For Remote Knowledge Graph Software Engineer jobs in Kansas City, MO, the most frequently searched job titles are:
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What cities near Kansas City, MO are hiring for Remote Knowledge Graph Software Engineer jobs? Cities near Kansas City, MO with the most Remote Knowledge Graph Software Engineer job openings:
Remote Knowledge Graph Software Engineer jobs near you
Infographic showing various Remote Knowledge Graph Software Engineer job openings in Kansas City, MO as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $143,958 per year, or $69.2 per hour.

Senior Software Engineer - AI Integration

Foresite

Overland Park, KS • Remote

$115K - $152K/yr

Full-time

Re-posted 2 days ago

Job description

Foresite is looking for a Senior Software Engineer - AI Intergration with strong, hands-on AI experience to help shape how AI gets built into our platform. We are a Managed Security Services Provider (MSSP) building the next generation of AI-powered security operations. We're integrating agentic AI into the workflows our analysts and customers rely on every day — a force multiplier for detecting, investigating, and responding to threats faster.

What You'll Do

In this role, you'll design and ship the systems that connect LLMs to real security workflows — from RAG pipelines over threat intelligence to agentic automation that handles triage and investigation steps that currently require human effort. You'll influence our AI architecture, product direction, and the standard for how the team builds with LLMs going forward.

  • Design and build AI-powered workflows that serve both internal analysts and external customers across guided security operations

  • Own the AI architecture end-to-end: model selection, prompt engineering, RAG pipelines, agent orchestration, and evaluation frameworks

  • Optimize for cost and performance — manage token budgets, reduce latency, and build instrumentation so we know exactly what our AI spend buys us

  • Collaborate with product and engineering to identify where AI creates real leverage and where it doesn't

  • Mentor engineers on LLM best practices and raise the AI literacy of the broader team

Who You Are

  • Engineering Principles: 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks).

  • AI/LLM Integration: Deep, practical experience using Agent Development Kit. You should have a proven track record of integrating LLMs into production environments - prompt engineering, context management, RAG architectures, agent frameworks, evaluation and observability.

  • The Modern Stack: You are deeply proficient in React 18/19 and TypeScript. You are comfortable with React Router v7 and modern routing patterns.

  • Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore. You feel at home with modern ORMs and use runtime validation to enforce data integrity at system boundaries.

  • Security: Experience designing secure multi-tenant AI architectures — you understand how to build LLM integrations that enforce strict data isolation between customers.

  • System Design: Strong understanding of scalable and highly available cloud-native system design.

  • Product Focused: Experience working closely with product teams to ship user-facing features.

Nice to Have

  • Platform Orchestration: Knowledge of Infrastructure as Code (IaC) using Terraform to automate, orchestrate, and manage cloud platform resources effectively.

  • Google Cloud Security: Familiarity or hands-on experience with Google Cloud Security products (e.g., Security Command Center, SecOps, , Mandiant).

  • Advanced AI Workflows: Experience building autonomous AI agents, multi-modal applications, or complex prompt orchestration pipelines.

Why Join Foresite?

We are a mission-driven partner helping organizations navigate an increasingly complex threat landscape. Founded by security practitioners, we’ve grown into a global leader in SecOps and MDR by staying true to our core value: radical transparency. When you join Foresite, you are part of a "humans-first" culture where your expertise is valued, and your well-being is a priority. We leverage our Google Cloud Premier SecOps Partnership to stay at the cutting edge, but we know that our greatest asset is our people.