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Remote Knowledge Graph Software Engineer Jobs in Illinois

YO AI Labs

AI Software Engineer - Remote

Chicago, IL · Remote

$80 - $120/hr

Strong knowledge of performance optimization and tuning . * Excellent written and verbal ... software engineering best practices . * Experience working effectively in remote or cross ...

BAI

Software Engineer

Chicago, IL · On-site +1

$75K - $95K/yr

Participate in code reviews, technical guidance, and knowledge sharing. * Participate in efforts to ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Civic Canvas

Software Engineer

Chicago, IL · Remote

$105K - $130K/yr

Working knowledge of Agile development methodologies and modern software delivery practices. Strong ... REMOTE Benefits 401(k) Parental leave Health insurance Paid time off Employee discount Vision ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Our work environment: Remote opportunities Growth advancement opportunities Flexible work ... Knowledge of HIPAA and healthcare security best practices. * Strong analytical, debugging, and ...

Cisco

Senior Software Engineer (Remote)

Chicago, IL · Remote

$126K - $166K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... You will collaborate across teams, share technical knowledge with other engineers, and help improve ...

DISCO

Principal Software Engineer - U.S. (remote)

Chicago, IL · On-site +1

$139K - $186K/yr

ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph ... Knowledge of API / Data Model Design and Implementation, including how to scale out, make highly ...

Harris

(Remote) Senior Software Engineer

Tennessee, IL · Remote

$118K - $155K/yr

The Senior Software Engineer, RPG is a hands-on technical leader responsible for complex IBM i/RPG ... Knowledge of the MEDHOST PIF system is a plus. Candidates with PIF experience should be prepared to ...

Harris

(Remote) Senior Software Engineer

Tennessee, IL · Remote

$118K - $155K/yr

The Senior Software Engineer, RPG is a hands-on technical leader responsible for complex IBM i/RPG ... Knowledge of the MEDHOST PIF system is a plus. Candidates with PIF experience should be prepared to ...

ampliFI Loyalty Solutions

Software Engineer

Naperville, IL · On-site +1

$132K - $147K/yr

Software Engineer for AmpliFI Loyalty Solutions, Naperville, IL. Define the long-term architectural ... remote work is not an option for tax reasons: AL, AK, AR, CA, CT, DE, HI, ID, IA, KS, KY, LA, ME ...

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Remote Knowledge Graph Software Engineer information

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 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 are the most commonly searched types of Knowledge Graph Software Engineer jobs in Illinois?

The most popular types of Knowledge Graph Software Engineer jobs in Illinois are:

What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Illinois?

For Remote Knowledge Graph Software Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Illinois look for?

The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Knowledge Graph Software Engineer jobs?

Cities in Illinois 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 Illinois as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Software Engineer - Remote

YO AI Labs

Chicago, IL • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.