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Senior Generative Ai Prompt Engineer Jobs in Ohio

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination ...

Northern Base

AI Engineer

Columbus, OH · On-site

Generative AI Solutions Development * Microsoft Copilot Studio * Microsoft 365 Copilot * Copilot ... AI Agents & Prompt Engineering * Azure Cloud Services & Platforms * Full Stack Development * Low ...

Forhyre

OH

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...

Motorola

Senior AI Engineer (US Remote)

New Hampshire, OH · Remote

$180K - $210K/yr

Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

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Senior Generative Ai Prompt Engineer information

What is a senior generative AI prompt engineer?

A Senior Generative AI Prompt Engineer is an experienced professional who specializes in designing, optimizing, and managing prompts for AI models, such as large language models (LLMs) like GPT-4. Their role involves understanding how AI responds to different instructions, creating effective prompts to achieve desired outputs, and collaborating with teams to integrate AI-generated content into products or workflows. They often work closely with data scientists, software engineers, and product managers to ensure the AI delivers accurate and valuable results. Additionally, they may be responsible for training others on prompt engineering best practices and staying updated on the latest advancements in generative AI.

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

To thrive as a Senior Generative AI Prompt Engineer, you need expertise in natural language processing, machine learning, and prompt engineering, typically supported by an advanced degree in computer science or a related field. Proficiency with AI frameworks like TensorFlow or PyTorch, experience with large language models (e.g., GPT, Llama), and familiarity with cloud platforms are essential. Strong problem-solving abilities, creativity, and effective communication skills help in designing, iterating, and collaborating on high-quality AI-driven solutions. These skills ensure the development of robust, innovative models and effective deployment of generative AI solutions to meet business objectives.

What are some common challenges faced by senior generative AI prompt engineers, and how can they be addressed?

Senior Generative AI Prompt Engineers often encounter challenges such as designing prompts that consistently yield high-quality outputs and managing model biases. Collaborating closely with data scientists, product managers, and other engineers is essential to iterate on prompt strategies and evaluate results. Staying updated with rapid advancements in generative AI models and understanding the nuances of prompt tuning are also key aspects of the role. Regularly reviewing model outputs and leveraging feedback from cross-functional teams can help address these challenges and drive continuous improvement.

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

AspectSenior Generative Ai Prompt EngineerMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with NLP and prompt designBachelor's or higher in CS, Data Science, or related fields; expertise in algorithms and model development
Work EnvironmentFocus on prompt crafting, AI interaction, and fine-tuning generative modelsDeveloping, training, and deploying machine learning models across various applications
Industry UsagePrimarily in AI product teams, content generation, and conversational AIAcross tech, finance, healthcare, and more for predictive analytics and automation

While both roles involve AI and machine learning, the Senior Generative Ai Prompt Engineer specializes in designing prompts for generative models, whereas the Machine Learning Engineer develops and optimizes machine learning algorithms for broader applications.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Ohio?

The most popular types of Generative Ai Prompt Engineer jobs in Ohio are:

What are popular job titles related to Senior Generative Ai Prompt Engineer jobs in Ohio?

For Senior Generative Ai Prompt Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Prompt Engineer jobs in Ohio look for?

The top searched job categories for Senior Generative Ai Prompt Engineer jobs in Ohio are:

What cities in Ohio are hiring for Senior Generative Ai Prompt Engineer jobs?

Cities in Ohio with the most Senior Generative Ai Prompt Engineer job openings:

Senior Generative Ai Prompt Engineer jobs near you
Infographic showing various Senior Generative Ai Prompt Engineer job openings in Ohio as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior AI Engineer / Generative AI Engineer

Technumen

Columbus, OH • On-site

$100K - $138K/yr

Contractor

Posted 20 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 GCP)
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