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Contract Knowledge Graph Software Engineer Jobs in Georgia

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

This is a W2 contract role with mostly remote work and occasional in-office collaboration ... Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled ...

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

This is a W2 contract role with mostly remote work and occasional in-office collaboration ... Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled ...

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

This is a W2 contract role with mostly remote work and occasional in-office collaboration ... Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled ...

Sr. Software Engineer

Atlanta, GA · Hybrid

$117.80K - $155.30K/yr

Sr. Software Engineer Step into a high-impact Sr. Software Engineer opportunity with a confidential ... knowledge of front-end frameworks including Angular.JS/React • 2+ years' experience in .NET Core ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

... knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based ... Skilled at building the software logic required to process data inputs and handle model outputs ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

... knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based ... Skilled at building the software logic required to process data inputs and handle model outputs ...

Your work will make the codebase easier to change, the build graph easier to reason about, and CI ... an employment contract with Iterable. You may see all job vacancies on our official Iterable ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117.90K - $155.40K/yr

... knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based ... Skilled at building the software logic required to process data inputs and handle model outputs ...

Maintain up to date knowledge on new programming methods and technologies to anticipate and ... contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a ...

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Contract Knowledge Graph Software Engineer information

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Software Engineer, and why are they important?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.

How does a Contract Knowledge Graph Software Engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is a Contract Knowledge Graph Software Engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Georgia? The most popular types of Knowledge Graph Software Engineer jobs in Georgia are:
Senior AI Software Engineer

Senior AI Software Engineer

Third Eye Software

Atlanta, GA • On-site, Remote

$117.80K - $155.30K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Ai Software Engineer

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale software delivery.

This is a W2 contract role with mostly remote work and occasional in-office collaboration. Candidates should be Metro Atlanta-based. No sponsorship available. No third-party recruiters.

This is a greenfield initiative that needs a strong problem solver first - someone who can work through ambiguity, anticipate issues, and turn early ideas into practical, scalable engineering solutions.

The ideal candidate has a strong traditional software engineering foundation, clear communication skills, mentoring ability, and hands-on experience with modern AI-enabled development. Initial work will focus heavily on building internal agents and agent-oriented workflows, with broader enterprise context and AI enablement work evolving over time.

This person should understand the full SDLC, enterprise software delivery, CI/CD, and how to build AI capabilities that can move beyond prototype into real use.

Responsibilities
  • Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools
  • Solve ambiguous technical problems and help determine practical paths forward
  • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling
  • Improve engineering workflows, developer productivity, and SDLC automation
  • Build scalable backend services, APIs, and supporting platform components
  • Anticipate technical and operational challenges as solutions scale across engineering teams
  • Communicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions
  • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities
  • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems