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

Code Repo

Full Stack Generative AI Developer

Atlanta, GA · On-site

Full Stack Generative AI Developer Atlanta, GA (Hybrid Must locals Only) Long Term Overview We are seeking a talented Full Stack Generative AI Developer to design, develop, and maintain cutting-edge ...

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Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

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 ...

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 ...

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How much do generative ai developer jobs pay per hour?

As of Jul 30, 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.
What are popular job titles related to Generative Ai Developer jobs in Atlanta, GA? For Generative Ai Developer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Atlanta, GA look for? The top searched job categories for Generative Ai Developer jobs in Atlanta, GA are:
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
Infographic showing various Generative Ai Developer job openings in Atlanta, GA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

Full Stack Generative AI Developer

Code Repo

Atlanta, GA • On-site

Other

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

Job description

Job Title: Full Stack Generative AI Developer Atlanta, GA (Hybrid Must locals Only) Long Term

Overview

We are seeking a talented Full Stack Generative AI Developer to design, develop, and maintain cutting-edge AI-powered applications. The ideal candidate will bridge the gap between advanced Generative AI models and user-facing applications by building scalable, secure, and high-performance AI solutions.

Key Responsibilities

  1. Generative AI Development
  • Design and develop Generative AI applications using GPT-5, Llama, and other Foundation Models.
  • Build Retrieval-Augmented Generation (RAG) solutions integrating LLMs with vector databases.
  • Develop prompt engineering frameworks and reusable prompt templates.
  • Fine-tune and optimize AI models for domain-specific use cases (Good to have).
  • Implement LLM evaluation, observability, and monitoring mechanisms.
  1. Frontend Development
  • Build responsive AI-powered web applications using React, Vue, Angular, or Material UI.
  • Design intuitive and user-friendly interfaces for AI applications.
  • Develop streaming AI response interfaces and real-time user interactions.
  • Create visualization components for AI outputs, confidence scores, and analytics.
  1. Backend Development
  • Develop scalable backend services using Python (Mandatory).
  • Build REST APIs and GraphQL services for AI applications.
  • Design microservices-based architectures.
  • Develop high-performance data processing pipelines for AI inference and training.
  • Integrate AI services with vector databases, document stores, and enterprise applications.
  1. DevOps & MLOps
  • Develop CI/CD pipelines for AI application deployment.
  • Implement monitoring, logging, and alerting for AI workloads.
  • Optimize infrastructure for scalable and cost-effective AI deployment.
  • Containerize applications using Docker and Kubernetes.
  • Deploy AI solutions on AWS, Azure, or Google Cloud Platform.

Required Skills & Experience

Technical Skills

  • 3+ years of Full Stack Development experience.
  • Strong programming skills in Python (Mandatory) and JavaScript/TypeScript.
  • 1+ years of experience in AI/ML with emphasis on Generative AI.
  • Experience with LangChain, LangGraph, or similar LLM frameworks.
  • Hands-on experience with Vector Databases such as Pinecone, FAISS, MongoDB, ChromaDB, or Milvus.
  • Experience developing REST APIs and GraphQL services.
  • Knowledge of Microservices Architecture.
  • Experience with Git, GitHub Actions, and CI/CD pipelines.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker and Kubernetes.

AI-Specific Knowledge

  • Strong understanding of Large Language Models (LLMs) and Foundation Models.
  • Experience with Prompt Engineering.
  • Hands-on experience building RAG architectures.
  • Knowledge of Embedding Models and Vector Similarity Search.
  • Understanding of AI evaluation methodologies and model performance metrics.
  • Familiarity with AI observability and monitoring tools.

Preferred Qualifications

  • Experience fine-tuning LLMs.
  • Exposure to AI Agents and Agentic AI frameworks.
  • Experience with MLOps pipelines.
  • Familiarity with model deployment and inference optimization.
  • Strong debugging and problem-solving skills.
  • Excellent communication and collaboration skills.

Apply