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Generative Ai Developer Jobs in Florida (NOW HIRING)

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

... in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

Elevance Health

Distinguished AI Engineer

Miami, FL · On-site +1

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... and DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in ...

Elevance Health

Distinguished AI Engineer

Tampa, FL · On-site +1

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... and DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in ...

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

AI/ML Engineer Experience: 4-7 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Build and optimize Generative AI and LLM-based applications. * Fine-tune foundation models for ...

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

The role involves building and deploying models while mastering Generative AI and Large Language Models. Responsibilities : • Require a blend of strong programming proficiency (especially Python ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

LLM & Generative AI Application Development: Assist in designing and implementing web and API-based ... Cloud & DevOps Exposure: Basic understanding of cloud platforms (Azure, AWS, or GCP ...

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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 Aug 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?

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.
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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 August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $70,395 per year, or $33.8 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 7 days ago

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/Hr(Max)
MSP Owner: Shilpa Bajpai
Location: Denver, CO (Zip Code-80221)- REMOTE
Duration: 6 months
Requisition ID: 10899783
Role: Senior AI Automation Engineer (Gen AI Developer)
Skills: AI & Gen AI - Products & Tools
Experience Required: 2-4 Years
Role Descriptions:
Generative AI and enterprise agent-based solutions| focusing on the design| development| and deployment of scalable AI applications.
Designing and developing AI Agents and enterprise automation workflows to address business use cases.
Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems.
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations.
Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms.
Deploying| managing| and troubleshooting applications using Docker and Kubernetes (AKS| EKS| and GKE) in cloud-native environments.
Working across Azure| AWS| and GCP to build secure| scalable| and highly available solutions.

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