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Prompt Engineering Ai Jobs in Georgia (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

This role focuses on prompt engineering model integration AI workflow design and full stack enablement working across multiple AI models and platforms including OpenAI and other enterprise LLM ...

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 ...

New

RITWIK Infotech Inc

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents. * Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Generative AI Application Development, Azure OpenAI / OpenAI APIs, Prompt Engineering, AI Orchestration Frameworks (LangChain, Semantic Kernel, etc.), Retrieval Augmented Generation (RAG), Context ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Generative AI Application Development, Azure OpenAI / OpenAI APIs, Prompt Engineering, AI Orchestration Frameworks (LangChain, Semantic Kernel, etc.), Retrieval Augmented Generation (RAG), Context ...

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 ...

Genesys

  • Medical

  • Dental

  • Vision

  • Retirement

Be the one building AI-powered experiences where they matter most. At Genesys, we help ... Hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniques.

Pwc

US Tech - AI Engineering Senior Associate

Atlanta, GA · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering concepts - Understanding enterprise data patterns and quality frameworks - Building and maintaining automated test suites for AI agents - Validating integrations with Power ...

TekCommands Inc

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities. * Design and manage relational (PostgreSQL) and ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...

Global Payments

AI Engineer

Alpharetta, GA

Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...

AT&T

Lead Data/AI Engineering

Atlanta, GA · On-site

$141K - $237K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and Retrieval Augmented Generation (RAG). * Build APIs, integrations, automations, and microservices that ...

3Ci

Consultant - Software Engineering

Atlanta, GA · On-site

Apply prompt engineering to produce accurate, production-ready AI-assisted code with robust testing WHAT WE'RE LOOKING FOR * Bachelor's degree in Computer Science, Software Engineering, or related ...

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Showing results 21-40

All JobsPrompt Engineering Ai JobsPrompt Engineering Ai Jobs in Georgia

Prompt Engineering Ai information

See Georgia salary details

$27.4K

$53.2K

$80.6K

How much do prompt engineering ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for prompt engineering ai in Georgia is $53,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $60,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a prompt engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

Is prompt engineering AI a good career?

Prompt engineering AI is a growing field focused on designing effective prompts for AI models like language generators. It requires skills in natural language processing, creativity, and understanding AI behavior, often involving tools like GPT or similar models. As AI adoption increases across industries, demand for prompt engineers is expected to rise, making it a promising career option for those interested in AI and machine learning.

What are some common challenges faced by prompt engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

What is the difference between Prompt Engineering Ai vs Data Scientist?

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

What is a prompt engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.

How do I become a prompt engineering AI?

Prompt engineering is a role focused on designing effective prompts for AI language models. To become a prompt engineer, develop skills in natural language processing, understand AI model behavior, and gain experience with tools like GPT or similar platforms; familiarity with programming languages such as Python is also beneficial.

What are popular job titles related to Prompt Engineering Ai jobs in Georgia?

For Prompt Engineering Ai jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering Ai jobs in Georgia look for?

The top searched job categories for Prompt Engineering Ai jobs in Georgia are:

Prompt Engineering Ai jobs near you
Infographic showing various Prompt Engineering Ai job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $53,177 per year, or $25.6 per hour.

AI-Assisted Developer / AI Product Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 11 days ago

Job description

Overview:
Job Title: AI-Assisted Developer / AI Product Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The days of writing every line of code from scratch are over. R2 Technologies is seeking an AI-Assisted Developer / AI Product Engineer who treats AI coding tools as their pair-programming partner. You will act as the bridge between product strategy and technical execution, utilizing advanced AI coding assistants (like Cursor, GitHub Copilot, and Claude Code) to achieve 10x productivity. Your primary focus will be rapidly prototyping, building, and scaling full-stack applications and integrating our proprietary SmartEnt platform with enterprise client systems. You will not just write code; you will architect prompts, orchestrate LLM workflows, and rigorously validate AI-generated outputs.
Key Responsibilities: * Rapidly prototype and develop end-to-end full-stack applications (using Java Spring Boot, .NET Core, React, or Angular) by heavily leveraging AI coding assistants.
  • Translate high-level business and product requirements into effective system architectures and advanced prompts for AI-driven code generation.
  • Rigorously review, debug, and refactor AI-generated code to ensure it meets strict enterprise standards for security, performance, and maintainability.
  • Integrate internal applications with leading LLM APIs (Anthropic, OpenAI, Gemini) and construct visual automation workflows using tools like n8n.
  • Implement AI security best practices, recognizing and mitigating risks such as AI hallucinations, insecure dependencies, and prompt injection vulnerabilities in generated code.
  • Collaborate closely with Agentic AI Engineers to build intuitive front-end user interfaces that interact seamlessly with complex, autonomous backend agents.

Qualifications: * Up to 3 years of software development experience in a full-stack environment.
  • Demonstrated power-user proficiency with modern AI coding assistants (e.g., Cursor, GitHub Copilot, Replit AI) and a strong grasp of developer-focused prompt engineering.
  • Solid foundation in modern programming languages (Java 17+, C# .NET 8+, Python) and front-end frameworks (React, Angular, TypeScript).
  • Experience integrating RESTful APIs, GraphQL, and cloud-native services (AWS, Azure, or GCP).
  • Critical thinking and debugging skills necessary to evaluate, secure, and optimize AI-generated architectures.

Entrepreneurial mindset with a bias for action, rapid iteration, and delivering functional product value over manual boilerplate coding.
Skills:
java,dotnet,react,angular

Apply