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Overnight Knowledge Graph Software Engineer Jobs in Little Rock, AR

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

... Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical ... Programming for Automation, Data Pipeline Building, CI/CD * Azure Certifications preferred

Document software solutions and share knowledge internally with other engineers. * Demonstrate proficiency in Python development and standard software verification and validation techniques.

Senior Software Engineer, Secure Build

England, AR · On-site

$115K - $152K/yr

Working knowledge of security boundaries, identity, secrets and common software supply-chain risks. * A strong product mindset and care for developer workflows, including experiences used by software ...

JIRA). • Demonstrated knowledge and understanding of standard techniques for software ... other engineers and testers. Company : Molex supplies electronic interconnect solutions and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

AI Engineer

Little Rock, AR · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... and knowledge to deliver quality work. You will engage with different stakeholders to build ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... graph traversal, memory management, and software design patterns while preparing students for ...

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Showing results 1-20

Overnight Knowledge Graph Software Engineer information

See Little Rock, AR salary details

$60.9K

$141.5K

$197.1K

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

As of Aug 24, 2026, the average yearly pay for overnight knowledge graph software engineer in Little Rock, AR is $141,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $165,900.00 per year, depending on experience, location, and employer.

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

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, tech, healthcare, and data-driven industries

The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Little Rock, AR?

The most popular types of Knowledge Graph Software Engineer jobs in Little Rock, AR are:

Infographic showing various Overnight Knowledge Graph Software Engineer job openings in Little Rock, AR as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $141,496 per year, or $68 per hour.

$109K - $131K/yr

Other

Re-posted 27 days ago


Job description

Position: AI Engineer

Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid)

Duration: Contract to hire (6 months)

Responsibilities:

  • Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and recommendation systems. Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use in forward-looking applications.
  • Engage in ideation sessions and support the development of MVPs and scalable solutions.
  • Utilize a variety of programming languages and tools to build and deploy machine learning models.
  • Support both batch and real-time inference pipelines in collaboration with Data Science and Applied AI teams.
  • Support the development of MVP Gen AI applications by enabling data integrations, vendor connections, and deployment paths Assist in building custom deployment workflows in Python (e.g., with Kubernetes or REST APIs) when needed for prioritized prototypes
  • Collaborate closely to integrate AI into user-facing interfaces Use APIs (e.g., OpenAI, Hugging Face) to embed intelligent features. Ability to make timely recommendations to effectively solve problems, using independent judgment consistent with standards, practices, policies, procedures, regulations, and/or law.

Requirement:

  • Bachelor's degree in, Computer Science, Computer Information Systems, IT, Software Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business Administration, or related field with Equivalent Masters or Certifications and see level years of experience (required)
  • Masters, PhD, or Advanced degree (Preferred)
  • 3+ years of experience in AI/ML engineering (Preferred)
  • Experience working with generative AI (e.g., LLMs, diffusion models, multimodal models) preferred
  • Specific experience with R and Python (Required)
  • Previous energy industry experience (Preferred)
  • Specific experience with 5-7 of the following required: Predictive Modelling, Data Cleaning, Data Visualization, Segmentation Modelling, Natural Language Processing, Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline Building, CI/CD
  • Azure Certifications preferred