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Ai Prompt Engineer Entry Level Jobs in Georgia (NOW HIRING)

... Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve ... translate into AI-enabled analytical and technical solutions. • Develop and maintain a deep ...

AI and Fabric Engineer

Atlanta, GA · On-site

$110K - $130K/yr

Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt engineering, grounding, and hallucination mitigation. * Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory ...

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data ...

New

AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to ... Exposure to Large Language Models (LLMs) and prompt engineering concepts. * Familiarity with cloud ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Required : • Familiarity with AI workflows • Natural language processing (NLP) pipelines • API integrations • Prompt engineering • Understanding of voice interface design • Conversational ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Showing results 41-60

Ai Prompt Engineer Entry Level information

What is an AI prompt engineer at the entry level?

An entry-level AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts used to interact with AI language models like ChatGPT. Their main responsibility is to create effective prompts that guide AI systems to generate accurate, relevant, and useful responses for specific tasks or applications. Entry-level prompt engineers often work closely with data scientists, developers, and product teams to improve AI outputs, ensuring the technology meets user needs. This role requires strong analytical skills, creativity, and a basic understanding of natural language processing and machine learning concepts.

What is the difference between Ai Prompt Engineer Entry Level vs Ai Content Specialist?

AspectAi Prompt Engineer Entry LevelAi Content Specialist
Required CredentialsBasic knowledge of AI, programming, or linguistics; often a degree in related fieldsWriting, editing, or marketing background; often a degree in communications or related fields
Work EnvironmentTech companies, AI startups, or freelance projectsMedia agencies, content creation firms, or corporate marketing teams
Employer & Industry UsagePrimarily in AI development and machine learning industriesIn advertising, media, and digital marketing sectors

While both roles involve working with digital content and technology, Ai Prompt Engineers focus on designing prompts for AI models, whereas Ai Content Specialists create and manage content for various platforms. The roles share some technical skills but differ in their core responsibilities and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with job growth driven by expanding AI adoption across industries.

What are the key skills and qualifications needed to thrive as an entry-level AI prompt engineer, and why are they important?

To thrive as an Entry-Level AI Prompt Engineer, you need a foundational understanding of natural language processing, prompt design, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms like OpenAI, experience with prompt engineering tools, and basic knowledge of Python or similar languages are typically expected. Strong analytical thinking, creativity, and effective communication help you craft clear, high-performing prompts and collaborate with cross-functional teams. These skills are essential for developing accurate, user-friendly AI outputs and ensuring the practical success of AI-driven projects.

What are some common challenges faced by entry-level AI prompt engineers when working with large language models?

Entry-level AI Prompt Engineers often encounter challenges such as crafting effective prompts that elicit accurate and relevant responses from large language models. Balancing specificity and creativity while avoiding ambiguity can be tricky, and it's common to iterate multiple times before achieving the desired output. Additionally, understanding the model's limitations and biases is essential to avoid unintended results. Collaboration with data scientists and software engineers is frequent, as prompt engineers may need to integrate their work into larger AI systems or workflows.

How to get into AI prompt engineering?

To enter AI prompt engineering, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior; certifications in AI or data science can also be beneficial.
What are the most commonly searched types of Ai Prompt Engineer jobs in Georgia? The most popular types of Ai Prompt Engineer jobs in Georgia are:
What are popular job titles related to Ai Prompt Engineer Entry Level jobs in Georgia? For Ai Prompt Engineer Entry Level jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer Entry Level jobs in Georgia look for? The top searched job categories for Ai Prompt Engineer Entry Level jobs in Georgia are:
What cities in Georgia are hiring for Ai Prompt Engineer Entry Level jobs? Cities in Georgia with the most Ai Prompt Engineer Entry Level job openings:
Infographic showing various Ai Prompt Engineer Entry Level job openings in Georgia as of August 2026, with employment types broken down into 17% Internship, 47% Full Time, 18% Temporary, and 18% Contract. Highlights an 100% In-person job distribution.

Generative AI Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
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 generate actionable insights for our business and customers.
This key position involves working with large data sources on Google Cloud Platform (GCP) and Google AI Platform, designing, developing, and implementing cutting-edge generative AI solutions on Vertex AI.
This is a unique opportunity to shape the future of AI within the company, driving innovation by leveraging our cloud-native technology (GCP/Vertex AI). Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
This role requires being in either our Alpharetta or Atlanta, Georgia office 4 days/week on Mon - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
• Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
• Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices.
• Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy.
• Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics.
• Understand how business requests translate into AI-enabled analytical and technical solutions.
• Develop and maintain a deep understanding of the latest advancements in AI,
particularly in generative AI and its applications in data analysis and insight generation.
• Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
What experience you need:
• Bachelor's degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
• 2+ years in shipping production grade software.
• 1+ years experience in deploying solutions on modern cloud environments.
• Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
• Proficiency in Python, LangChain, and either Java or C/ C++
• Experience with REST API clients and platforms such as Spring/ Flask.
• Strong communication skills of analytical results to technical and non-technical audiences alike
What could set you apart:
• Master's degree in a related field is a strong plus
• Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
• Strong foundational skills in Linux Operating System.
• Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
• Background in credit risk, financial data analytics or risk modeling.
• Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
• Experience in Business Intelligence, data visualization, and customer insights
generation.
• Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
• Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
• Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
• Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
• Contributions to the AI community through publications, open-source projects, or conference presentations.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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