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Generative Ai Developer Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Specialized knowledge of generative AI and large language model tooling and frameworks (e.g., retrieval-augmented generation, prompt engineering, vector embeddings), and hands-on experience defining ...

Hewlett Packard Enterprise Development LP

Familiarity with generative AI concepts, including prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop ...

Hewlett Packard Enterprise

Familiarity with generative AI concepts, including prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop ...

Relativity

Software Engineer

Wichita, KS · On-site

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

Hewlett Packard Enterprise Development LP

Familiarity with generative AI concepts, including prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

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How much do generative ai developer jobs pay per hour?

As of Sep 8, 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 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 the key skills and qualifications needed to thrive as a generative AI developer?

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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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 August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,012 per year, or $40.4 per hour.

Gen AI Engineer - Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO, Nashville, TN.

TechniPros, LLC

Kansas City, KS • On-site

Other

Posted 24 days ago

Job description

Job Title: Generative AI Engineer
Location: Kansas  City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO, Nashville, TN.
Contract: 12+ Months
Looking for W2 candidates. No C2C

Job Summary:

We are seeking a Senior Generative AI Platform Engineer to build scalable enterprise AI platforms leveraging modern LLMs, AI orchestration frameworks, cloud-native technologies, and Model Context Protocol (MCP). The ideal candidate should have strong experience building production-grade GenAI applications and AI developer platforms.

Key Responsibilities:

·        Design enterprise-grade Generative AI platforms.

·        Build AI applications using OpenAI, Claude, Gemini, and Llama models.

·        Develop AI workflows using LangGraph, LangChain, and LlamaIndex.

·        Implement Model Context Protocol (MCP) integrations.

·        Build scalable RAG pipelines using vector databases.

·        Develop REST APIs and FastAPI services.

·        Deploy AI workloads on Azure AI Foundry or Amazon Bedrock.

·        Implement AI monitoring, logging, and observability.

·        Collaborate with platform engineering and DevOps teams.

·        Follow Responsible AI and AI Governance standards.

Required Skills:

·        Python

·        Generative AI

·        LLMs

·        LangGraph

·        LangChain

·        LlamaIndex

·        MCP (Model Context Protocol)

·        Prompt Engineering

·        RAG

·        FastAPI

·        REST APIs

·        OpenAI

·        Anthropic Claude

·        Google Gemini

·        Azure AI Foundry

·        Amazon Bedrock

·        Docker

·        Kubernetes

·        GitHub Actions

·        CI/CD

Preferred Skills:

·        CrewAI

·        Semantic Kernel

·        AI Guardrails

·        LangSmith

·        OpenTelemetry

·        AI Security

Best Regards:

Tanuja P
Phone:
Email:

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