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Generative Ai Developer Jobs in Florida (NOW HIRING)

Prophecy Technologies

Generative AI Engineer

Tampa, FL · On-site

The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will ...

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Tampa, FL · On-site

$96K - $127K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Futran Tech Solutions Pvt. Ltd.

Al/ML Lead

Tampa, FL

Senior Generative AI Developer Location - Dallas, TX I Tampa, FL I Jersey City, NJ (3 days WFO) Role - AI/ML Lead We are seeking an experienced Senior Generative AI Developer to design and implement ...

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Tampa, FL · Hybrid

$93K - $122K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

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Generative Ai Developer information

See Florida salary details

$14

$33

$75

How much do generative ai developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for generative ai developer in Florida is $33.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $40.96 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Florida? For Generative Ai Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Florida look for? The top searched job categories for Generative Ai Developer jobs in Florida are:
What cities in Florida are hiring for Generative Ai Developer jobs? Cities in Florida with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Florida as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $70,395 per year, or $33.8 per hour.

Generative AI Engineer

Prophecy Technologies

Tampa, FL • On-site

Full-time

Posted 7 days ago

Job description

Role Overview:
The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will be responsible for building and optimizing deep learning, NLP, or computer vision models, deploying them into production, and working with large datasets.
Key Responsibilities:
  • Design, develop, and implement machine learning and AI models for business applications.
  • Build and optimize deep learning, NLP, or computer vision models depending on project requirements.
  • Deploy models into production using APIs, microservices, or cloud platforms.
  • Work with large datasets to clean, preprocess, and engineer features.
  • Monitor and maintain model performance, retraining when necessary.
  • Collaborate with cross-functional teams including product managers and data engineers.
  • Research and apply the latest developments in AI and machine learning.
  • Ensure scalability, security, and reliability of AI solutions.
  • Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
  • Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
  • Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
  • Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
  • Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
  • Collaborate with front-end teams to integrate AI features into React/Node.js environments.

Required Skills:
  • Strong programming skills in Python (preferred) or Java C.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Knowledge of deep learning, NLP, computer vision, or generative AI.
  • Expert-level Python (strong hands-on coding) and advanced SQL.
  • Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
  • Databases: ElasticSearch, NoSQL, and Neo4j.
  • AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
  • Backend: Proven experience with FastAPI or Flask for production APIs.
  • Web: Familiarity with React and Node.js for full-stack AI integration.

Qualifications:
  • Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
  • Proven track record of deploying LLM-based applications to production.
  • Strong understanding of vector embeddings, semantic search, and RAG architectures.
  • Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).

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