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Generative Ai Testing Jobs in Florida (NOW HIRING)

Infosys Limited Digital

FL · On-site

... Generative AI|Conversational AI Platform Technical Skills 2 Technology|Generative AI|Prompt ... testing and optimize algorithms for performance, reliability, and scalability, while providing ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

... testing and documentation • Continuous learning in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

... 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 ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL

... 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 ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

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 ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Production AI/ML Systems: Design A/B testing frameworks for generative model comparison and optimization * Build real‑time inference optimization for low‑latency content generation * Implement ...

KPMG US

AI Engineer- Manager

Orlando, FL · On-site

The company is seeking an AI Engineer - Manager to develop generative AI solutions, provide ... for automated testing and deployment • Excellent problem-solving skills; able to communicate ...

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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 Florida?

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

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:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Florida 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 Lead (Generative AI)

Centillion Infotech

Tampa, FL • On-site

$127K - $156K/yr

Other

Posted 7 days ago

Job description

AI Lead Generative AI

Location: Irving, TX or Tampa, FL
Work Arrangement: Onsite
Job Type: Contract

Job Overview

We are seeking an experienced AI Lead Generative AI to join our team and contribute to the development, integration, and deployment of innovative Generative AI solutions.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration, and production AI deployments. This role requires someone who can collaborate effectively with Data Scientists and Engineers while contributing to reliable, scalable, and responsible AI applications.

Key Responsibilities

  • Contribute to prompt engineering and development of AI-powered workflows.

  • Design and implement solutions leveraging LLMs and Generative AI.

  • Assist with deployment, monitoring, maintenance, and optimization of AI models in production environments.

  • Collaborate with Data Scientists, Software Engineers, and other technical teams to integrate AI capabilities into applications.

  • Develop data preprocessing and feature engineering pipelines for AI applications.

  • Develop and integrate APIs supporting Generative AI solutions.

  • Contribute to RAG-based applications, including retrieval and search workflows.

  • Participate in the development and integration of Multi-Agent and Agentic AI systems.

  • Apply workflow orchestration techniques to automate AI-powered processes.

  • Participate in code reviews, testing, debugging, and technical documentation.

  • Follow software engineering best practices using Git and version control.

  • Support containerized AI applications using Docker.

  • Stay current with advancements in Generative AI, LLMs, RAG, Agentic AI, and AI/ML technologies.

  • Share technical knowledge and relevant industry developments with the team.

  • Follow responsible AI, data privacy, security, and compliance principles.

Required Technical Skills

  • Hands-on experience with Generative AI and Large Language Models (LLMs).

  • Strong understanding of Prompt Engineering.

  • Experience or exposure to Retrieval-Augmented Generation (RAG).

  • Basic understanding of Hybrid Search, Vector Search, and Semantic Search.

  • Exposure to Multi-Agent Systems / Agentic AI / AI Agents.

  • Strong proficiency in Python for AI development, scripting, and data preprocessing.

  • Understanding of AI workflow orchestration.

  • Experience or exposure to AI model deployment and production environments.

  • Understanding of Docker and containerization.

  • Experience with API development and integration.

  • Experience with or exposure to LangChain, LlamaIndex, and/or Hugging Face is preferred.

  • Understanding of Git and version control systems.

  • Awareness of AI compliance, data privacy, security, and responsible AI principles.

  • Hands-on experience with at least one major machine learning framework such as PyTorch, TensorFlow, or Keras is advantageous.

Preferred Experience

Candidates with experience in the following areas will be highly valued:

  • Enterprise Generative AI applications

  • LLM-powered applications

  • RAG pipelines and knowledge-based AI systems

  • Vector and hybrid search

  • Agentic AI and Multi-Agent architectures

  • AI workflow automation and orchestration

  • Production deployment of AI/ML applications

  • Python-based AI application development

  • LangChain, LlamaIndex, or Hugging Face

  • Docker-based AI deployments

  • API integration for AI applications

Soft Skills

  • Strong analytical and problem-solving abilities.

  • Excellent communication and collaboration skills.

  • Ability to work effectively with Data Scientists and Engineering teams.

  • Strong attention to detail.

  • Willingness to learn new AI/ML technologies and frameworks.

  • Open to feedback and continuous improvement.

  • Ability to work effectively in an onsite environment.

Work Location : Irving, TX OR Tampa, FL Onsite Employment Type : Contract How to Apply

Interested candidates can share their updated resume and contact information for consideration.

Email:

Subject: AI Lead Generative AI

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