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Full Time Generative Ai Jobs (NOW HIRING)

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that ... full-time position is between $200,000 - $400,000 The pay offered for this position may vary based ...

Generative AI Developer

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$104K - $152K/yr

Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that ... full-time position is between $200,000 - $400,000 The pay offered for this position may vary based ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

... full-time employment upon graduation. Roles and responsibilities for this position include: * Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and ...

Our partner is looking for a Lead AI Generative Designer based in Netherlands. Join a forward ... Fully remote full-time position with worldwide flexibility. * Competitive compensation, with salary ...

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New York, NY · On-site +1

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The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... for full-time employees Medical by UnitedHealthCare Dental by Guardian Vision by EyeMed Pre-tax ...

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How much do full time generative ai jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full time generative ai in the United States is $26.86, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $30.53 per hour, depending on experience, location, and employer.

What is the difference between Full Time Generative Ai vs Data Scientist?

AspectFull Time Generative AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and deep learningDegree in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing generative modelsVarious industries including finance, healthcare, tech; analyze data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors; creating generative AI applicationsAcross industries; extracting insights from data for strategic decisions

Full Time Generative Ai roles focus on developing and deploying generative AI models, requiring expertise in AI algorithms and programming. Data Scientists analyze data to generate insights, often using statistical tools. While both roles involve data and programming skills, Generative Ai specialists concentrate on AI model creation, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Full Time Generative Ai jobs? States with the most job openings for Full Time Generative Ai jobs include:

Generative AI Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 22 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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