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Genai Engineer Jobs in Florida (NOW HIRING)

Capco

Sr. AI Engineer

Orlando, FL · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Senior GenAI Engineer Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role ...

Capco

Sr. AI Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Senior GenAI Engineer Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role ...

Citigroup Inc.

Senior GenAI Engineering - Director

Tampa, FL · On-site

$170 - $300/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is for an innovative Director GenAI Engineering and Transformation Senior Manager (Hybrid) to drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process ...

Citigroup, Inc.

Senior GenAI Engineering - Director

Tampa, FL · On-site

$170K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is for an innovative Director GenAI Engineering and Transformation Senior Manager (Hybrid) to drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process ...

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Strong expertise in Natural Language Processing (NLP) and Generative AI (GenAI). * Proficiency with Python frameworks such as Django and Flask. * Extensive experience with machine learning libraries ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Florida?

For Genai Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Florida look for?

The top searched job categories for Genai Engineer jobs in Florida are:

What cities in Florida are hiring for Genai Engineer jobs?

Cities in Florida with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

GENAI at Tampa FL _Hybrid _Local Only

Volto USA

Tampa, FL • On-site

Contractor

Re-posted 17 days ago

Job description

Role Name - GenAI Engineer

Location: Tampa, FL Hybrid - 2 days onsite 3 days Remote

6+ month Contract

ROLE_DESCRIPTION -

GenAI Engineer

We are looking for a versatile Full-Stack AI Engineer proficient in backend and frontend development with strong experience in AI/ML technologies. The ideal candidate will work closely with cross-functional teams to develop scalable web applications featuring a Node.js and Python backend, React-based frontend, and AI/ML-powered functionalities leveraging tools  like Scikit-learn, TensorFlow, Azure ML, and Langchain. The role requires a passion for cutting-edge machine learning integrations and delivering high-quality, performant software. AI System Key Responsibilities Backend Development:

Design, develop, and maintain scalable backend services and APIs primarily using Node.js with TypeScript and Python.

Integrate AI/ML models and workflows into backend systems to enable intelligent application features.

Ensure robust application architecture, security, and performance optimization.

Frontend Development:

Build responsive, user-friendly interfaces using React and TypeScript following best  practices and design principles.

Collaborate with UX/UI designers and product teams to deliver seamless user experiences.

Implement state management, routing, and component libraries to support complex application workflows.

AI/ML Integration:

Develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML.

Integrate AI functionalities using frameworks like Langchain and JavaScript-based libraries into web applications.

Collaborate with data scientists and ML engineers to operationalize AI solutions in production-grade applications.