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Prompt Engineer Jobs in Georgia (NOW HIRING)

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Working knowledge of prompt engineering, optimisation and fine-tuning. * Familiarity with Graph databases (Neo4j) or agent-based architectures. * Architect and code in Python for scalable, reusable ...

Java Developer - III

Alpharetta, GA · On-site

$50 - $55/hr

You should possess strong prompt engineering skills, enabling you to accelerate development velocity, optimize code quality, automate testing, and solve complex architectural challenges efficiently.

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 ...

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 ...

Knowledge of RAG, vector databases, embeddings, prompt engineering, and AI orchestration frameworks. * Previous experience in the Finance/Financial Services domain.. * Ability to communicate ...

New

AI Engineer

Alpharetta, GA · On-site

$140 - $180/hr

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 ...

New

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Build and tune prompt-engineering patterns at production scale -- system prompts, structured output, tool and function calling. * Design and maintain LLM evaluation harnesses -- golden sets ...

Showing results 21-40

Prompt Engineer information

See Georgia salary details

$8

$39

$74

How much do prompt engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for prompt engineer in Georgia is $39.76, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $51.35 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Georgia?

The most popular types of Prompt Engineer jobs in Georgia are:

What cities in Georgia are hiring for Prompt Engineer jobs?

Cities in Georgia with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $82,698 per year, or $39.8 per hour.

LLM Engineer (GCP Preferred)

Krest Global Solutions

Atlanta, GA • Hybrid

$58 - $60/hr

Contractor

Re-posted 22 days ago


Job description

Job Title: LLM Engineer (GCP Preferred)

Work Time Zone: EST

Rate: $60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are seeking a highly skilled and motivated LLM Engineer to design, build, and deploy advanced large language model (LLM) solutions that enhance procurement workflows and drive business automation. The ideal candidate will have a strong background in natural language processing, deep learning, and AI agent design, with hands-on experience fine-tuning foundation models and deploying them on Google Cloud Platform (GCP).


Key Responsibilities:

  • AI Agent Development
    Design and implement LLM-powered AI agents that optimize and automate procurement-related tasks, ensuring reliability, explainability, and business alignment.
  • Model Fine-Tuning & Optimization
    Fine-tune foundation models for domain-specific tasks, focusing on accuracy, latency, and scalability. Apply techniques such as parameter-efficient fine-tuning, prompt tuning, and adapter training.
  • Pipeline Engineering
    Build and maintain robust, production-grade pipelines for data ingestion, model training, evaluation, and inference using GCP services and open-source tools.
  • Prompt Engineering & RAG Implementation
    Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs.
  • Stakeholder Collaboration
    Work closely with procurement experts, data engineers, and business leaders to gather requirements, align goals, and deliver impactful AI solutions.
  • Model Evaluation & Monitoring
    Establish evaluation metrics and monitoring tools to track model performance, accuracy, bias, and drift in real-world applications.
  • Integration & Deployment
    Collaborate with cross-functional teams to integrate LLMs into existing systems, leveraging LangChain, LangGraph, and GCP AI tools like Vertex AI for seamless deployment.

Must-Have Qualifications:

  • Master’s degree in mathematics, Physics, Computer Science,
  • 7 – 10 + years of experience in NLP, LLM development, or AI-driven automation.
  • Expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Proficiency with LangChain, LangGraph, Hugging Face Transformers, and LLM model hubs.
  • Experience fine-tuning large-scale models and optimizing for real-time inference.
  • Solid understanding of vector databases, knowledge graphs, and embedding techniques.
  • Strong communication skills with the ability to translate complex AI concepts to non-technical stakeholders.
  • Proven experience working with Google Cloud Platform (GCP), especially with services like Vertex AI, BigQuery, and Cloud Functions.
  • Familiarity with multi-agent systems and reinforcement learning is a strong plus.