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Generative Ai Developer Jobs in Kansas (NOW HIRING)

Truity Credit Union

Data & AI Engineer

Lawrence, KS

$104.50K - $125.50K/yr

Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge ... Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS

$104.50K - $125.50K/yr

Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge ... Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to ...

TRUITY CREDIT UNION

Data & AI Engineer

Lawrence, KS · On-site

$108K - $129.70K/yr

Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge ... Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to ...

TAMKO

Associate General Counsel

Galena, KS

Leverage AI-powered tools (including generative AI). Requirements * Minimum of 5 years comparable ... A Bachelor of Science in Engineering or a Science Degree is a plus. * Current license to practice ...

TAMKO

Associate General Counsel

Galena, KS · On-site

Leverage AI-powered tools (including generative AI). Requirements * Minimum of 5 years comparable ... A Bachelor of Science in Engineering or a Science Degree is a plus. * Current license to practice ...

OTSI

Enterprise Solutions Architect

Kansas City, KS · On-site

... generative AI into enterprise workflows * Provide hands-on technical leadership across development, data engineering, AI/ML, and analytics workloads, guiding customers through the SDLC with ...

Scopely

Using generative AI tools such as ChatGPT, Codex, Claude Code, Copilot, and Windsurf while helping ... Professional experience as a full-stack or backend developer * Experience building and maintaining ...

Scopely

$105.10K - $144.60K/yr

Using generative AI tools such as ChatGPT, Codex, Claude Code, Copilot, and Windsurf for coding, debugging, planning, automation, and documentation * Participating in a strong engineering team and ...

Seaboard Energy

Director - Innovation

Merriam, KS · On-site

Re-engineer the division's internal software development processes by establishing AI-augmented ... generative AI, or agentic AI systems. * Hands-on experience with modern automation platforms (e.g ...

Seaboard Energy

Director - Innovation

Merriam, KS · On-site

Re-engineer the division's internal software development processes by establishing AI-augmented ... generative AI, or agentic AI systems. * Hands-on experience with modern automation platforms (e.g ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for generative ai developer in Kansas is $40.39, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $48.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What are popular job titles related to Generative Ai Developer jobs in Kansas? For Generative Ai Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Kansas look for? The top searched job categories for Generative Ai Developer jobs in Kansas are:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Kansas as of May 2026, with employment types broken down into 36% Full Time, 57% Part Time, and 7% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $84,012 per year, or $40.4 per hour.
AI Agent Software Engineer: Content Automation

AI Agent Software Engineer: Content Automation

NetApp

Wichita, KS

$131K - $169K/yr

Other

Medical, Life, Retirement, PTO

Posted 13 days ago

Job description

About this position

The Information Engineering team at NetApp creates and maintains technical documentation published on docs.netapp.com, the company's most visited web site. Our team of strategic thinkers and creative problem-solvers owns NetApp's technical documentation infrastructure as well as pipelines that integrate technical content into products, sites, and AI tools.
We are an AI-forward organization and expect team members to leverage responsible AI to improve customer outcomes and create internal efficiencies. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in their past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed.

What you'll do
  • Partner with content standards leads, UX designers, engineers, product managers, and data scientists to identify high-value opportunities for AI in the technical content lifecycle.
  • Design, build, launch and iterate agent-driven automated workflows that gather, normalize, and optimize source content for publishing and downstream reuse.
  • Build and operationalize AI-assisted semantic enrichment pipelines (ontology, metadata, and taxonomy tagging) to improve content findability, consistency, and performance.
  • Develop agents and checks that enforce content standards and ensure knowledge is optimized for integration in AI solutions.
  • Implement measurement and reporting systems to track adherence to legal, brand, style, inclusivity, accessibility, accuracy, freshness, and structural standards.
  • Define governance patterns (guardrails, evaluations, and human-in-the-loop review triggers) to ensure responsible, reliable AI outcomes.
  • Use signals (quality metrics, evaluation results, stakeholder feedback) to continuously improve agent behavior, prompt/context strategies, and workflow performance.
What skills you'll need
  • Hands-on experience building and improving AI agents and/or multi-agent orchestrations for complex technical content.
  • Experience integrating generative AI capabilities into enterprise workflows (design through production).
  • Experience implementing governance mechanisms such as guardrails, validation checks, evaluations, and human review triggers in AI-assisted workflows.
  • Working knowledge of GenAI fundamentals and responsible AI practices (risk identification, governance, and monitoring).
  • Ability to translate editorial/quality standards into machine-readable rules, automated checks, and agent behaviors.
  • Strong cross-functional collaboration skills and the ability to turn business needs into clear requirements and workable technical solutions.
  • Experience with GitHub and modern CI/CD automation (for example, GitHub Actions).
  • Experience developing and implementing ontology, metadata, and taxonomy for large content sets.
  • Experience with content curation, knowledge management, and information architecture concepts.
  • Familiarity with documentation tooling and formats such as Jekyll, AsciiDoctor, and Markdown.
  • Experience with GitHub Copilot and AI-assisted development practices in day-to-day engineering work.
  • Experience with test, verification, and evaluation of tooling for AI systems.
  • Demonstrated ability to learn new skills quickly (for example, context engineering, programming languages, or new platforms) and apply them to deliver measurable outcomes..
Education

   Typically requires a minimum of 5 years of related experience in addition to a Bachelor's degree in a related technical or engineering field. 
   Additional experience above the stated minimum requirements may be considered in place of a Bachelor's degree.

Compensation:
The target salary range for this position is $131,000-$169,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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