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Generative Ai Developer Jobs in Ohio (NOW HIRING)

GEN AI Developer

Cincinnati, OH · On-site

$49.75 - $64.50/hr

The role involves developing applications using Generative AI and requires strong core development ... Responsibilities : • GenAI Application Engineer with strong core development skills in Java ...

Developer

Cincinnati, OH · On-site

$100K - $110K/yr

... Generative AI in Azure AI and Azure Cloud echo system. • Other can be strong Java and Spring boot engineers with aptitude to learn and develop applications using Open AI on Azure platform. • Lang ...

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions ... Generative AI, Agentic AI, LLM fine-tuning, RAG, GraphRAG, Vector databases, Knowledge Graph ...

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

AI Developer Must-Have 1. Generative AI / LLMs 2. Python Programming 3. Prompt Engineering 4. RAG Architecture 5. AI/ML Concepts 6. REST APIs 7. SQL 8. Cloud Platforms (AWS/Azure) 9. Git, CI/CD 10. ...

Responsibilities include building conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to software applications. AI Engineer is ...

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Generative Ai Developer information

See Ohio salary details

$18

$43

$95

How much do generative ai developer jobs pay per hour?

As of Jul 29, 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 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 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:
Infographic showing various Generative Ai Developer job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $89,555 per year, or $43.1 per hour.

Senior AI Engineer / Generative AI Engineer

TechNumen, Inc

Columbus, OH • On-site

$97K - $134K/yr

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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