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Generative Ai Engineer Intern Jobs in Wichita, KS

Relativity

Software Engineer

Wichita, KS · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

HDR, Inc.

Electrical Engineer Intern

Wichita, KS · On-site

$17 - $22.25/hr

From high-performance data centers driving the future of AI to dynamic commercial environments ... In the role of Electrical Engineer Intern , we'll count on you to: * Gain real-world experience on ...

HDR, Inc.

Electrical Engineer Intern

Wichita, KS · On-site

$17 - $22.25/hr

From high-performance data centers driving the future of AI to dynamic commercial environments ... In the role of Electrical Engineer Intern , we'll count on you to: * Gain real-world experience on ...

Deloitte

AI Security Engineer Manager

Wichita, KS · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Koch Industries

Software Engineer

Wichita, KS · On-site

Your Job We are seeking a Software Engineer to join our Software Engineering team in Wichita, KS ... Experience developing generative AI or agentic services using the AWS AgentCore runtime.

Relativity

Legal AI Advisor

Wichita, KS · On-site

... generative AI so lawyers work faster, smarter, and more defensibly. Legal Engineers partner with lawyers across law firms, corporate legal departments, service providers, and public sector ...

New

Relativity

Senior Manager, Applied Science

Wichita, KS · On-site

... with engineering teams to keep them running reliably. * Fluency with modern generative AI as a component of larger systems, and sound judgment about what it can and cannot do reliably. * Machine ...

Kbx

AI Enablement & Solutions Lead

Wichita, KS · On-site

$150 - $200/hr

We work closely with business leaders, Product Managers, DataOps, Engineering, Security, and Koch ... Identify, evaluate, and prioritize AI-enabled opportunities, including generative AI, intelligent ...

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Generative Ai Engineer Intern information

See Wichita, KS salary details

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How much do generative ai engineer intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai engineer intern in Wichita, KS is $17.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.70 per hour, depending on experience, location, and employer.

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

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

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

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

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What are popular job titles related to Generative Ai Engineer Intern jobs in Wichita, KS?

For Generative Ai Engineer Intern jobs in Wichita, KS, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Intern jobs in Wichita, KS look for?

The top searched job categories for Generative Ai Engineer Intern jobs in Wichita, KS are:

Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern job openings in Wichita, KS as of August 2026, with employment types broken down into 11% Internship, 74% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution, with an average salary of $35,940 per year, or $17.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Wichita, KS • On-site

Other

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply