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Generative Ai Developer Jobs in Ohio (NOW HIRING)

Rackner

Software/AI developer

Dayton, OH · On-site +1

Experience building, integrating, or supporting AI/ML or generative AI applications. * Understanding of software engineering fundamentals, including application design, testing, debugging, version ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions ...

Northern Base

AI Engineer

Columbus, OH · On-site

Hiring Alert | AI Engineer Location: Columbus, OH / Phoenix, AZ Employment Type: Full-Time ... Generative AI Solutions Development * Microsoft Copilot Studio * Microsoft 365 Copilot * Copilot ...

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How much do generative ai developer jobs pay per hour?

As of Sep 11, 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.

Senior AI Engineer / Generative AI Engineer

Columbus, OH • On-site

TechNumen, Inc
11 - 50 employees
Learn more about TechNumen, Incexternal

$97K - $134K/yr

Other

Re-posted 14 days ago

Job description

Senior AI Engineer / Generative AI Engineer
Alpharetta, GA & Columbus, OH (w2/1099 only)
Job Description:

We are looking for a talented Senior AI Engineer to design, build, and deploy AI-powered applications and developer tooling. The ideal candidate has hands-on experience with Generative AI, LLMs, AI agents, and modern software engineering. This role involves building production-ready AI solutions, rapidly prototyping new ideas, and collaborating with engineering and product teams.

Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs)
  • Build AI agents, copilots, and workflow automation solutions
  • Integrate Claude, OpenAI, or other foundation models into enterprise applications
  • Develop scalable backend services using Python and TypeScript
  • Build APIs and AI microservices
  • Implement Retrieval-Augmented Generation (RAG) solutions
  • Create prompt engineering strategies and evaluation pipelines
  • Build developer productivity tools using AI
  • Work with CI/CD pipelines and cloud deployment
  • Collaborate with product managers and engineering teams to deliver AI-enabled features
  • Optimize AI applications for performance, security, and scalability
Required Skills:
  • 7+ years of software engineering experience
  • Strong experience with Python and TypeScript
  • Experience integrating Claude, OpenAI, Gemini, or other LLM APIs
  • Hands-on experience building AI-powered applications
  • Experience with Prompt Engineering
  • Knowledge of AI agents and agent orchestration frameworks
  • REST API and microservices development
  • Git, Docker, CI/CD
  • Cloud experience (AWS, Azure, or Google Cloud Platform)
Preferred Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • MCP (Model Context Protocol)
  • Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector)
  • RAG architecture
  • FastAPI
  • React
  • Kubernetes
  • Terraform
  • AI evaluation frameworks
  • Observability tools
  • Knowledge of secure AI development and AI guardrails

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