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Generative Ai Developer Jobs in Ohio (NOW HIRING)

Mindlance

Machine Learning Engineer

Cincinnati, OH · On-site

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a team developing AI-powered solutions for a major financial services organization. The ideal candidate ...

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements. * Architect Generative AI ...

Vertiv Co

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements. * Architect Generative AI ...

Photon

Python Developer

Columbus, OH · On-site

$47 - $64.75/hr

We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic ...

New

SmartIPlace

AI Engineer Lead[100%REMOTE]

Columbus, OH · On-site

$99K - $130K/yr

Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... or generative AI Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines ...

Flexjet LLC

AI Engineer

Cleveland, OH · On-site

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine ... Experience with NLP, computer vision, or generative AI * Familiarity with MLOps tools (e.g., Docker ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... or generative AI Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines ...

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Generative Ai Developer information

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$18

$43

$95

How much do generative ai developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for generative ai developer in Ohio is $43.06, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $52.12 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 Ohio?

For Generative Ai Developer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Ohio look for?

The top searched job categories for Generative Ai Developer jobs in Ohio are:

What cities in Ohio are hiring for Generative Ai Developer jobs?

Cities in Ohio with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $89,555 per year, or $43.1 per hour.

Machine Learning Engineer

Cincinnati, OH • On-site

Mindlance
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Mindlanceexternal

Other

Posted 11 days ago

Job description

Job Overview

We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a team developing AI-powered solutions for a major financial services organization. The ideal candidate will have strong hands-on experience developing and deploying Machine Learning and Generative AI applications in production, along with expertise in Python, MLOps, AI validation, Responsible AI, and Model Risk Management.

This role will work closely with AI engineers, software developers, data teams, and Model Risk Management teams to build scalable, secure, reliable, and compliant AI solutions that meet enterprise SDLC and regulatory requirements.

Key Responsibilities

  • Develop, test, validate, and deploy Machine Learning and Generative AI models in production environments.
  • Build AI-powered applications using Python and other modern programming technologies.
  • Design and maintain ML/AI pipelines and MLOps processes across the model lifecycle.
  • Work with development and data teams to understand business problems, data sources, and existing systems and translate them into effective AI/ML solutions.
  • Implement Responsible AI principles, including appropriate controls for fairness, transparency, explainability, privacy, and model safety.
  • Partner with Model Risk Management (MRM) teams for model evaluation, validation, documentation, evidence gathering, and risk remediation.
  • Establish and improve AI/ML governance frameworks covering development, validation, deployment, monitoring, and ongoing model management.
  • Develop and integrate Generative AI/LLM solutions into enterprise applications.
  • Implement testing and evaluation strategies to assess the quality, accuracy, reliability, and risks of AI-generated outputs.
  • Containerize and deploy AI/ML applications using Docker/Kubernetes and cloud technologies.
  • Follow enterprise SDLC, security, compliance, and regulatory requirements.
  • Troubleshoot production issues and continuously improve the reliability, resiliency, and performance of AI solutions.
  • Collaborate with cross-functional teams using Agile/DevOps methodologies.

Required Qualifications

  • 4+ years of experience in Machine Learning, AI Engineering, Software Engineering, or a related field.
  • Strong hands-on Python development experience.
  • Experience developing and deploying Machine Learning models in production.
  • Hands-on experience with Generative AI, LLMs, or AI-powered applications.
  • Experience with MLOps, ML pipelines, model deployment, and model lifecycle management.
  • Experience with Model Validation, Model Governance, or Model Risk Management (MRM).
  • Strong understanding of Responsible AI principles and AI validation/evaluation techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Docker, Kubernetes, or containerized applications.
  • Experience with software development lifecycle and enterprise production environments.
  • Strong troubleshooting, analytical, communication, and problem-solving skills.

Preferred Qualifications

  • Experience working in Banking, Financial Services, or another regulated industry.
  • Experience with Claude Code, Codex, GitHub Copilot, or other AI-assisted development tools.
  • Experience with Java and full-stack application development.
  • Experience building RAG, LLM, or Agentic AI applications.
  • Experience with AI/ML observability and monitoring.
  • Experience establishing AI governance and MLOps frameworks.
  • Experience with resiliency, automation, CI/CD, and DevOps practices.

Experience working in large enterprise environments

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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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