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Generative Ai Engineer Jobs in Arkansas (NOW HIRING)

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

AI Engineer Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid) Duration: Contract to hire ... Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and ...

Triunity Software, Inc.

AI Engineer

Little Rock, AR · On-site

$110 - $150/hr

Triunity Software is looking for a talented and driven AI Engineer to join our growing team in ... Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud ...

Pwc

AI Engineer

Fayetteville, AR · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Pwc

AI Engineer

Little Rock, AR · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Triunity Software

AI Engineer

Little Rock, AR · On-site

$100K - $110K/yr

Triunity Software is looking for a talented and driven AI Engineer to join our growing team in ... Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud ...

Walmart

(USA) Software Engineer III

Lowell, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Elm Springs, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Bentonville, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Cave Springs, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Arkansas

Generative Ai Engineer information

See Arkansas salary details

$31.4K

$95.8K

$158.4K

How much do generative ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai engineer in Arkansas is $95,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $125,300.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Arkansas?

The most popular types of Generative Ai Engineer jobs in Arkansas are:

What job categories do people searching Generative Ai Engineer jobs in Arkansas look for?

The top searched job categories for Generative Ai Engineer jobs in Arkansas are:

What cities in Arkansas are hiring for Generative Ai Engineer jobs?

Cities in Arkansas with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Arkansas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,809 per year, or $46.1 per hour.

AI Engineer

Rishabh Software Pvt. Ltd

Little Rock, AR • On-site

$109K - $131K/yr

Other

Re-posted 23 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

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