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Generative Ai Developer Jobs in Columbus, GA (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Columbus, GA · On-site

$48 - $53/hr

Exposure to AI Agent development and Generative AI technologies. * Experience working in Agile ... Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

CYNET SYSTEMS

Data Engineer

Columbus, GA · On-site

$48 - $53/hr

Exposure to AI Agent development and Generative AI technologies. Experience working in Agile ... Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

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Generative Ai Developer information

See Columbus, GA salary details

$16

$40

$90

How much do generative ai developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for generative ai developer in Columbus, GA is $40.54, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $49.04 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.

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The top searched job categories for Generative Ai Developer jobs in Columbus, GA are:

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Cities near Columbus, GA with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you

AI Engineer - Remote / Telecommute

Columbus, GA • Remote

CYNET SYSTEMS
IT Services • 501 - 1,000 employees
Learn more about CYNET SYSTEMSexternal

$37 - $42/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Job Overview:

Pay Range: $37hr - $42hr

Requirement/Must Have:

  • 5+ years of experience in Java-based enterprise application development.
  • Strong expertise in Generative AI and Large Language Models (LLMs).
  • Experience with Azure OpenAI or OpenAI APIs.
  • Proficiency in Spring Boot and REST API Development.
  • Knowledge of Microservices Architecture.

Responsibilities:

  • Design, develop, and maintain enterprise-grade applications using Java 17+, Spring Boot, and Microservices Architecture.
  • Build and consume REST APIs and integrate backend services with AI platforms.
  • Develop and integrate Generative AI/LLM-powered solutions into enterprise applications and business workflows.
  • Implement Retrieval Augmented Generation (RAG) solutions to enhance AI response quality and accuracy.
  • Design and optimize context assembly and retrieval mechanisms for Large Language Models (LLMs).
  • Develop AI orchestration workflows using modern AI frameworks and tools.
  • Integrate and optimize Azure OpenAI/OpenAI APIs for conversational AI and intelligent automation use cases.
  • Create, test, and refine prompts to improve AI-generated outputs.
  • Implement AI response validation, monitoring, compliance checks, and guardrails for production-grade applications.
  • Develop solutions for transcript processing, content summarization, and AI-assisted documentation generation.
  • Collaborate with Product Owners, Architects, and Business Stakeholders to identify and implement AI use cases.
  • Ensure application scalability, security, performance, and adherence to software engineering best practices.

Skills:

  • Java (Java 17+ preferred).
  • Spring Boot.
  • REST API Development.
  • Generative AI.
  • Large Language Models (LLMs).
  • Azure OpenAI or OpenAI APIs.
  • Prompt Engineering.
  • Retrieval Augmented Generation (RAG).
  • Microservices Architecture.
  • AI Application Integration & Orchestration.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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