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Generative Ai Testing Jobs in Georgia (NOW HIRING)

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Generative AI and Large Language Models * Prompt engineering and prompt optimization * LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality ...

Salesforce, Inc.

Director, AI & Tooling

Atlanta, GA · On-site

Generative AI Strategy Drive the strategic roadmap for generative AI capabilities within the Help ... The Testing Center is fully onboarded in production, with evaluation coverage scaled well beyond ...

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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 Georgia?

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

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

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

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

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

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Engineer

Atlanta, GA • On-site

Digipulse Technologies, Inc
IT Services • 51 - 200 employees
Learn more about Digipulse Technologies, Incexternal

$69K - $89K/yr

Other

Posted 20 days ago

Job description

AI Engineer – GenAI Quality & Evaluation


Locations: Oakdale, MN | Atlanta, GA | Scottsdale, AZ | St. Petersburg, FL | Omaha, NE
Work Arrangement: Hybrid – 3 days onsite
Employment Type: Contract (C2C)
Requirement: Candidates must be local to one of the listed locations.

We are looking for an experienced AI Engineer with a background in software engineering, QA, automation testing, or business systems analysis. The ideal candidate should have at least one year of hands-on experience with Generative AI, LLMs, prompt engineering, conversational AI, or AI testing.

Key Skills
  • Generative AI and Large Language Models
  • Prompt engineering and prompt optimization
  • LLM testing and AI quality assurance
  • RAG, vector databases, semantic search, and embeddings
  • AI evaluation and observability
  • Python and SQL
  • REST APIs, JSON, and Postman
  • Test automation frameworks
  • Azure DevOps, Git, and Azure OpenAI
  • Arize AI or similar observability tools
Responsibilities
  • Design and execute test plans for GenAI and LLM applications
  • Test prompts, agents, APIs, conversational AI, and RAG workflows
  • Evaluate AI responses and identify hallucinations or quality issues
  • Perform functional, regression, integration, and API testing
  • Build or improve automated testing frameworks
  • Track defects, prompt versions, experiments, and test results
  • Prepare technical documentation and evaluation reports
  • Work closely with developers, QA teams, product teams, and business stakeholders
Qualifications
  • 5–10 years of relevant technical experience
  • 1+ year of hands-on GenAI or LLM experience
  • Strong experience with test planning, APIs, JSON, and Agile delivery
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
  • Strong analytical, troubleshooting, communication, and documentation skills

Apply