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Generative Ai Developer Jobs in Callahan, FL (NOW HIRING)

... and Generative AI capabilities, translating successful pilots into production-ready solutions. * Drive model lifecycle management, including feature engineering, model training, validation ...

... generative AI (GenAI)-enabled capabilities, technical guardrails, and data protection integrations * Building application programming interfaces (APIs), automations, workflows, integrations ...

... and Generative AI capabilities, translating successful pilots into production-ready solutions. * Drive model lifecycle management, including feature engineering, model training, validation ...

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Generative Ai Developer information

See Callahan, FL salary details

$16

$40

$89

How much do generative ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for generative ai developer in Callahan, FL is $40.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $48.61 per hour, depending on experience, location, and employer.

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 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 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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Callahan, FL look for?

The top searched job categories for Generative Ai Developer jobs in Callahan, FL are:

What cities near Callahan, FL are hiring for Generative Ai Developer jobs?

Cities near Callahan, FL with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Callahan, FL as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 61% Physical, 4% Hybrid, and 35% Remote job distribution, with an average salary of $83,564 per year, or $40.2 per hour.

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 11 days ago


Job description

LOCAL to Lewisville, TX, Detroit MI, Charlotte ONLY!
Job Description We're looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will be responsible for supporting initiatives across machine learning and AI model development, model governance, and emerging generative AI innovations. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML/AI solutions and tools, and ensure responsible, effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modeling, while demonstrating strong communication skills and the ability to influence a complex organization. The Work Itself In this role, you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams to ensure our ML/AI systems are robust, responsible, and deliver measurable impact. You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence. Key Responsibilities • Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance • Leverage novel approaches to continuously improve model performance and business outcomes • Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment • Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems • Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Ally Proprietary Ally Proprietary • Bachelor's Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics) • Minimum 3 years of data science / quantitative modeling work experience, with hands on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred • Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models • Strong knowledge in programming languages of Python, SQL or R • Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders • Highly self-motivated and adaptable, with a proven ability to deliver high-quality results in a fast-paced, rapidly evolving environment Preferred Qualifications • Proven experience designing and implementing predictive models, Generative AI, and agentic systems, with a track record of developing novel AI approaches to boost model performance • Strong foundational knowledge of responsible AI practices, including the integration of data governance, ethical AI considerations, and security protocols throughout the model-development lifecycles • Experience with GitHub and repositories • Master's degree or higher in a quantitative field
Roles & Responsibilities
Key Responsibilities • Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance • Leverage novel approaches to continuously improve model performance and business outcomes • Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment • Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems • Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage.
Role Descriptions: Key Responsibilities Develop/Implement/Test AI solutions for the Consumer Auto organization| including supporting vendor-developed Agentic AI models and its governance Leverage novel approaches to continuously improve model performance and business outcomes Advance responsible AI practices by integrating governance| ethical considerations| and security into every stage of model development and deployment Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage.
Essential Skills: Were looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will be responsible for supporting initiatives across machine learning and AI model development| model governance| and emerging generative AI innovations. This candidate will also partner with business stakeholders| technology teams| and risk partners to deliver high-quality ML/AI solutions and tools| and ensure responsible| effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modeling| while demonstrating strong communication skills and the ability to influence a complex organization.
Desirable Skills:
Keyword:
Skills: Digital : Data Science
Experience Required: 8-10, Project Code :