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Generative Ai Engineer Jobs in Ohio (NOW HIRING)

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 ...

Posted today

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join ... Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

New

Flexjet

AI Engineer

Cleveland, OH

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

AI Engineer

Cleveland, OH · On-site

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

Flexjet

AI Engineer

Cleveland, OH · On-site

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

Flexjet

AI Engineer

Cleveland, OH · On-site

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

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Ohio

Generative Ai Engineer information

See Ohio salary details

$36.1K

$110.2K

$182.1K

How much do generative ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for generative ai engineer in Ohio is $110,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Ohio? The most popular types of Generative Ai Engineer jobs in Ohio are:
What are popular job titles related to Generative Ai Engineer jobs in Ohio? For Generative Ai Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Ohio look for? The top searched job categories for Generative Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Generative Ai Engineer jobs? Cities in Ohio with the most Generative Ai Engineer job openings:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Ohio as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $110,152 per year, or $53 per hour.

Senior AI Engineer / Generative AI Engineer

TechNumen, Inc

Columbus, OH • On-site

$97K - $134K/yr

Other

Posted 9 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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