ZipRecruiter

Log In

1

Genai Developer Jobs in Georgia (NOW HIRING)

Palnar

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

GenAI Developer (2 Roles) Location : Alpharetta, GA Hybrid - 3 Days work from office Face to Face is Required. Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and ...

Deloitte

Manager, GenAI Engineering

Atlanta, GA

As a Manager GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Principal GenAI Engineer

Atlanta, GA · On-site

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Manager, GenAI Engineering

Atlanta, GA · On-site

As a Manager GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

next page

Showing results 1-20

People also search for

All JobsGenai Developer JobsGenai Developer Jobs in Georgia

Genai Developer information

See Georgia salary details

$14

$44

$69

How much do genai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for genai developer in Georgia is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $54.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GenAI Developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What are some common challenges GenAI Developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are GenAI Developers?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

What are popular job titles related to Genai Developer jobs in Georgia? For Genai Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Genai Developer jobs in Georgia look for? The top searched job categories for Genai Developer jobs in Georgia are:
What cities in Georgia are hiring for Genai Developer jobs? Cities in Georgia with the most Genai Developer job openings:
Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Georgia as of May 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $92,802 per year, or $44.6 per hour.
GEN AI Developer@ Alpharetta, GA

GEN AI Developer@ Alpharetta, GA

Palnar

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Posted 14 days ago

Job description

GenAI Developer (2 Roles)
Location : Alpharetta, GA
Hybrid - 3 Days work from office
Face to Face is Required.
Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and LLM, MCP (Model Context Protocol).
We are seeking two GenAI Developers to join our AI Tools team, focused on building advanced integrations and connectors across leading Generative AI platforms. The ideal candidates will have strong hands-on experience in Python, MCP-based systems, and working with large language models in multi-agent environments.
Key Responsibilities
  • Design and develop GenAI-powered integrations and connectors for enterprise use cases.
  • Build and enhance platform-specific connectors for tools such as Microsoft Copilot, Google Gemini, Claude, and OpenAI.
  • Implement and manage MCP (Model Context Protocol) and agent-based communication patterns.
  • Work with LLMs, agent-to-agent protocols, and orchestration frameworks to enable intelligent workflows.
  • Collaborate closely with the AI Tools team to deliver scalable, secure, and production-ready solutions.
  • Ensure compliance with enterprise security, privacy, and governance standards.

Required Skills & Experience
  • Strong Python development skills.
  • Hands-on experience with MCP (Model Context Protocol).
  • Proven experience working with Large Language Models (LLMs).
  • Experience with Microsoft Copilot and/or other GenAI platforms.
  • Practical knowledge of agent-to-agent communication protocols and multi-agent systems.
  • Experience building APIs, connectors, or platform integrations.

Nice to Have / Bonus Skills
  • Experience integrating with Google Gemini, Claude, and OpenAI APIs.
  • Familiarity with AI agent frameworks and orchestration tools.
  • Experience working in an AI platform or AI tools team.
  • Exposure to enterprise SaaS environments and integration architectures.

Apply