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Generative Ai Developer Jobs in Georgia (NOW HIRING)

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... Engineer prompts and contextual workflows to improve LLM response quality and relevance.

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes. Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and ...

AIG

Generative AI Product Owner

Atlanta, GA

Generative AI Product Owner Be part of something groundbreaking At AIG, we are making long-term ... We will incorporate best-in-class engineering and product management principles and your guidance ...

Socket.dev

Director, AI Engineering

Atlanta, GA · On-site

$180 - $260/hr

Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... processing, or generative artificial intelligence solutions * 2+ years of experience using ...

Florence Healthcare - US

Director of AI

Atlanta, GA · On-site

Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...

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Generative Ai Developer information

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$16

$38

$85

How much do generative ai developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for generative ai developer in Georgia is $38.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $46.30 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 are popular job titles related to Generative Ai Developer jobs in Georgia?

For Generative Ai Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Georgia look for?

The top searched job categories for Generative Ai Developer jobs in Georgia are:

What cities in Georgia are hiring for Generative Ai Developer jobs?

Cities in Georgia with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $79,540 per year, or $38.2 per hour.

Senior Data Platform Developer - AI Platform

Geotab

Atlanta, GA • On-site

Full-time

Medical, Dental, Retirement

Re-posted 13 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role. 
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

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