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Prompt Engineer Jobs in Lithonia, GA (NOW HIRING)

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Prompt engineering and prompt optimization * LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation and observability * Python and SQL * REST ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

New

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve system performance Data Platform Integration (Snowflake, Fabric, Power BI) * Enable AI systems to ...

New

Alston

Legal AI Solutions Analyst

Atlanta, GA

$135K - $150K/yr

Experience as a prompt engineer in professional services, consulting, or legal environments; or as a product support specialist/business analyst with exposure to low/no-code automation.

YO AI Labs

Mental Health Expert - Remote

Atlanta, GA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

New

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 ...

Wise Skulls

Senior Agentic AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... • Prompt engineering and prompt optimization • Worked in RAG systems and with Vector databases • Good to have - understanding of guardrails, observability • Experience in developing web ...

Emory Healthcare

AI Engineer

Atlanta, GA · On-site

$49.88 - $61.97/hr

Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration * Conduct structured ...

Emory Healthcare

AI Engineer

Atlanta, GA

Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration * Conduct structured ...

Emory Healthcare

AI Engineer

Atlanta, GA

Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration * Conduct structured ...

Emory Healthcare

AI Engineer

Atlanta, GA · On-site

Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration * Conduct structured ...

Emory Healthcare

AI Engineer

Atlanta, GA · On-site

$120 - $180/hr

Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration * Conduct structured ...

WorkNovas LLC

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 ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Lithonia, GA

Prompt Engineer information

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How much do prompt engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for prompt engineer in Lithonia, GA is $42.99, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $55.53 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 popular job titles related to Prompt Engineer jobs in Lithonia, GA?

For Prompt Engineer jobs in Lithonia, GA, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Lithonia, GA look for?

The top searched job categories for Prompt Engineer jobs in Lithonia, GA are:

What cities near Lithonia, GA are hiring for Prompt Engineer jobs?

Cities near Lithonia, GA with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Lithonia, GA as of August 2026, with employment types broken down into 6% Internship, 66% Full Time, 22% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $89,415 per year, or $43 per hour.

LLM/Prompt-Context Engineer - Fullstack Python (AI Agents, LangGraph, Context Engineering)

Diversity Nexus

Atlanta, GA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Diversity Nexus is seeking a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background. The role involves designing, developing, and integrating intelligent systems focused on large language models, prompt engineering, and advanced context management.
Responsibilities:
• Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
• Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
• Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
• Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions.
• Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications.
• Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
• Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Qualifications:
Required:
• Deep experience with full stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs).
• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies.
• Hands-on experience integrating AI agents and LLMs into production systems.
• Proficient with conversational flow frameworks such as LangGraph.
• Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
• Exceptional analytical, problem-solving, and communication skills.
Preferred:
• Experience evaluating and fine-tuning LLMs or working with RAG architectures.
• Background in information retrieval, search, or knowledge management systems.
• Contributions to open-source LLM, agent, or prompt engineering projects.
Company:
Diversity Nexus provides workforce inclusion staffing, payrolling, and supplier diversity solutions for large enterprises. Founded in , the company is headquartered in Princeton, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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