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Generative Ai Testing Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Digitek Software, Inc.

AI Engineer Lead

Columbus, OH · On-site

$95K - $126K/yr

... or generative AI, and agents/ virtual assistants to software applications. AI Engineer is ... Experience in developing, testing, and deploying chatbot applications. · Ability to facilitate and ...

VIVA USA INC

AI Engineer Lead

Columbus, OH · On-site +1

$99K - $130K/yr

Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS ... Experience in developing, testing, and deploying chatbot applications. Ability to facilitate and ...

SmartIPlace

AI Engineer Lead[100%REMOTE]

Columbus, OH · On-site

$99K - $130K/yr

... or generative AI, and agents/ virtual assistants to software applications. AI Engineer is ... Experience in developing, testing, and deploying chatbot applications. · Ability to facilitate and ...

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All JobsGenerative Ai Testing JobsGenerative Ai Testing Jobs in Ohio

Generative Ai Testing information

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Ohio?

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

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

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

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

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

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Solution Engineer / Python Developer _ Atlanta, GA / Dallas, TX / Mason, OH

Tech Mirrors

Mason, OH • On-site

$120 - $180/hr

Other

Posted yesterday

New

Job description

AI Solution Engineer / Python Developer

Location: Atlanta, GA / Dallas, TX / Mason, OH (Onsite role in any of these locations)

Duration: July 30, 2026 – January 30, 2027 (6 Months)

Experience Required: 4–8 Years

Job Summary

TCS is seeking a highly skilled AI Solution Engineer / Python Developer with strong expertise in Python, FastAPI, LangChain, LangGraph, and Tesseract OCR to build AI‑powered, cloud‑native applications. The ideal candidate should have experience designing scalable microservices, integrating LLMs, developing AI workflows, and deploying secure, production‑ready AI solutions on AWS.

Must‑Have Skills Programming & Backend
  • Strong proficiency in Python
  • Hands‑on experience with FastAPI
  • Experience developing RESTful APIs
  • Strong understanding of Microservices Architecture
  • Experience with Asynchronous Processing
AI & Generative AI
  • LangChain
  • LangGraph
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings
  • Structured Outputs
  • AI Agent Development
  • Workflow Orchestration
  • Tool/API Orchestration
  • Intent Routing
  • AI‑assisted Decision Flows
  • OCR & Document Processing
Tesseract OCR
  • Tesseract OCR
  • Document Scanning
  • Text Extraction
  • PDF Processing
  • Image Processing
  • Document Ingestion Pipelines
Cloud & DevOps
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Cloud‑native Architecture
  • Event‑driven Architecture
  • API Management
  • Apigee API Gateway
  • API Proxy Development
  • API Policies
  • Routing
  • OAuth Security
  • KVMs
  • API Products
  • API Deployment
  • Security
  • AI Guardrails
  • Prompt Injection Prevention
  • PII/PHI Protection
  • Response Validation
  • Logging & Monitoring
Good‑to‑Have Skills
  • OpenAI
  • Azure OpenAI
  • Docker
  • Vector Databases
  • Embeddings
  • Document Processing Pipelines
  • Cloud Platforms
Roles & Responsibilities
  • Design, develop, and maintain scalable REST APIs using Python and FastAPI.
  • Build and orchestrate LLM‑based AI workflows using LangChain and LangGraph.
  • Integrate Tesseract OCR for document scanning, text extraction, and preprocessing.
  • Develop backend services for AI/ML‑driven applications.
  • Build prompt workflows, AI agents, and state graphs for complex reasoning pipelines.
  • Design cloud‑native, event‑driven microservices using AWS services.
  • Develop secure API‑driven AI solutions using Apigee API Gateway.
  • Collaborate with Data Scientists, ML Engineers, and Frontend Developers.
  • Optimize APIs and AI processing pipelines for performance, scalability, and reliability.
  • Perform unit testing, code reviews, and documentation.
  • Implement AI security best practices, including guardrails, PII/PHI protection, prompt injection prevention, and monitoring.
Required Technical Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • REST APIs
  • Microservices
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Apigee API Gateway
  • OAuth
  • Prompt Engineering
  • RAG
  • Embeddings
  • AI Agents
  • Event‑driven Architecture
Preferred Technical Skills
  • OpenAI / Azure OpenAI
  • Docker
  • Vector Databases
  • Document Processing
  • Cloud Platforms
Education

Bachelor’s or Master degree in Computer Science, Engineering, or a related field.

Primary Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • AWS
  • Apigee
  • Generative AI
  • LLM Integration
  • REST API Development
  • Microservices
  • AI Solution Engineering
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