ZipRecruiter

Log In

1

Generative Ai Developer Jobs in Kansas (NOW HIRING)

Truity Credit Union

Data & AI Engineer

Kansas City, KS · On-site

$104K - $125K/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 ...

Temporal Technologies

If you have a passion for improving the developer experience, building world-class open-source ... Experience and passion for harnessing generative AI, particularly for agents and coding. * A deep ...

New

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 ...

Amgen

The BioIntelligence team applies machine learning, statistical modeling, and generative AI approaches to predict critical properties of engineered biologics and enable data-driven therapeutic design.

next page

Showing results 1-20

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Kansas

Generative Ai Developer information

See Kansas salary details

$16

$40

$90

How much do generative ai developer jobs pay per hour?

As of Jul 14, 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 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 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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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 is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 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 July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $84,012 per year, or $40.4 per hour.
Data & AI Engineer

Data & AI Engineer

Truity Credit Union

Kansas City, KS • On-site

$104K - $125K/yr

Full-time

Re-posted 27 days ago

Job description

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

  1. Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
  2. Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
  3. Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
  4. Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
  5. Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
  6. Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
  7. Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
  8. Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
  9. Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.
  10. Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
  11. Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
  12. Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying, transforming, and joining relational data.
  • Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
  • Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
  • Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
  • Knowledge of AI agent frameworks and task routing techniques.
  • Ability to build and refine prompt templates and AI-assisted data workflows.
  • Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
  • Strong documentation, communication, and cross-functional collaboration skills.
  • Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
  • Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

  • Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
  • Regular attendance and active collaboration are essential.
  • Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.
  • Reasonable accommodations will be made under the ADA when applicable.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.