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

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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CYNET SYSTEMS

Gen AI Developer

Atlanta, GA · On-site

$48/hr

Skills: * Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core. * Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring). * Programming ...

Posted today

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Atlanta, GA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

... engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image ... Generative modeling for audio applications (diffusion models, autoregressive models, masked ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

Global Payments

AI Engineer

Alpharetta, GA · On-site

Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Atlanta, GA

Generative Ai Developer information

See Atlanta, GA salary details

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$43

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How much do generative ai developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for generative ai developer in Atlanta, GA is $43.55, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $52.69 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, and why are they important?

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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 the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 near Atlanta, GA are hiring for Generative Ai Developer jobs? Cities near Atlanta, GA with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Gen AI Developer

Gen AI Developer

TMV Global Inc

Atlanta, GA • On-site

Other

Posted 14 days ago

Job description

Job Title: AI Developer (Hybrid - 3 Days a week to office)


Location: Atlanta, GA


Experience – 8 + years


Required Skills

  • 8+ years of experience in hands-on exposure to AI/ML or Generative AI systems
  • Strong understanding of AI evaluation techniques, including hallucination detection, factual accuracy, bias, and output consistency
  • Knowledge of Responsible AI principles, including fairness, transparency, and explainability
  • Python (must-have) and Experience with: REST APIs and microservices


Key Responsibilities

  • Design, build, and operate a secure, scalable, and cost-efficient enterprise Generative AI platform on AWS, supporting production-grade LLM applications in regulated environments.
  • Own the full GenAI platform lifecycle, including architecture, deployment, operations, monitoring, incident management, and continuous reliability and performance improvements.
  • Implement and run AWS Bedrock-based solutions, enabling LLM inference, RAG, Agents, and Guardrails with high availability, fault tolerance, and SLA compliance.
  • Establish strong operational and governance frameworks, covering observability, alerting, RCA, security controls, access management, compliance, and cost optimization.
  • Bring deep expertise in cloud ML platforms and financial services, with strong Python skills, AWS services knowledge, GenAI hands-on experience, and a background in production support, reliability engineering, and AI governance.


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