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Generative Ai Testing Jobs in Florida (NOW HIRING)

AI Lead Engineer

Tampa, FL · On-site

$96K - $127K/yr

Lead the development of Generative AI and Agentic AI applications from concept to production ... Testing * Monitoring * Deployment * Governance * Collaborate with architects, product owners, and ...

New

Code review, testing and documentation * Continuous learning in Generative AI related fields Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due ...

... generative AI techniques. Experience with LangChain is a strong plus. * Detail-Oriented: Exhibits precision when developing and testing AI-driven applications. * Team-Focused & Collaborative: Enjoys ...

... generative AI techniques. Experience with LangChain is a strong plus. * Detail-Oriented: Exhibits precision when developing and testing AI-driven applications. * Team-Focused & Collaborative: Enjoys ...

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent ... Understanding of software engineering best practices including Git, CI/CD, testing, code reviews ...

Responsibilities : • Design, develop, and deploy Generative AI and Large Language Model (LLM ... code, testing, and documentation. Qualifications : Required : • Strong knowledge and deep ...

Sr Gen AI Engineer

Delray Beach, FL · On-site

$87K - $140K/yr

Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Knowledge of modern software development practices including CI/CD, testing, and version control

We analyze how brands appear inside generative AI platforms such as ChatGPT, Claude, Gemini, and ... You will work with AI visibility diagnostics, prompt testing frameworks, schema analysis, and long ...

We analyze how brands appear inside generative AI platforms such as ChatGPT, Claude, Gemini, and ... You will work with AI visibility diagnostics, prompt testing frameworks, schema analysis, and long ...

AI/ML Engineer

Juno Beach, FL

$111K - $134K/yr

Build and optimize data pipelines for model training, testing, and deployment * Collaborate with ... Support generative AI initiatives and explore emerging AI technologies * Mentor junior team members ...

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Generative Ai Testing information

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.

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 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 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 job categories do people searching Generative Ai Testing jobs in Florida look for? The top searched job categories for Generative Ai Testing jobs in Florida are:
What cities in Florida are hiring for Generative Ai Testing jobs? Cities in Florida with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Florida as of June 2026, with employment types broken down into 10% Internship, 63% Full Time, 22% Part Time, and 5% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.

Fulltime - Python Developer - Generative AI & Cloud (Agentic AI)

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

$47.50 - $65.50/hr

Full-time

Posted 7 days ago


Job description

Role: Python Developer - Generative AI & Cloud (Agentic AI)
Location:
Tampa, FL and Jersey City, NJ (3 Days onsite/week)
Fulltime
Job Description:
• Strong hands-on experience in Python development for AI/ML workloads
• Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
• Understanding/practical knowledge on Agentic AI frameworks
• Experience working with cloud-native AI services on GCP/AWS/Azure
• Understanding of privacy-preserving ML techniques and responsible AI practices
• Experience working with prompt engineering including tool calling and guardrails
• Familiarity with MLOps pipelines, model deployment, and monitoring
• Ability to design scalable, production-ready AI solutions
Key Responsibilities:
• Design, develop, and optimize Python-based AI/ML applications
• Build, fine-tune, and deploy Generative AI solutions using modern frameworks
• Integrate AI models with cloud platforms and managed AI services
• Develop scalable APIs and microservices supporting AI workloads
• Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions
• Implement CI/CD pipelines ensuring code quality, testing, and security
• Monitor and optimize performance, reliability, and cost of cloud AI deployments
• Ensure compliance with data privacy, security, and responsible AI guidelines