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Generative Ai Developer Jobs in Alabama (NOW HIRING)

Genesys

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Autodesk

$77K - $102K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will strengthen our FinOps culture through shared accountability and transparency. You will build self ...

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Generative Ai Developer information

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$41

$91

How much do generative ai developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for generative ai developer in Alabama is $41.05, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $49.66 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 job categories do people searching Generative Ai Developer jobs in Alabama look for? The top searched job categories for Generative Ai Developer jobs in Alabama are:
What cities in Alabama are hiring for Generative Ai Developer jobs? Cities in Alabama with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Alabama as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $85,381 per year, or $41 per hour.

Generative AI Engineer

QUANTUM TECHNOLOGIES LLC

Eutaw, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title : Generative AI Engineer
 Duration: 10+ Months
 Location : Eutaw, AL, USA
JobType: W2 Contract
 Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description :

Desired Competencies (Technical/Behavioral Competency)

Must-Have
Programming languages: Python (proficient) with major ML libraries

Experience with opensource Gen AI LLMs e.g., Llama and Dolly

Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers

Generative AI techniques: Experience with GANs, text-to-image generation, text generation models

Data wrangling & manipulation: SQL, data cleaning, feature engineering

Hyperscalers : AWS, Azure, or Google Cloud Platform experience a plus

Good-to-Have
On prem and cloud development projects with CI/CD Experience

SN Key Expectations from the Role

1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs

5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development

Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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