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Full Time Generative Ai Jobs (NOW HIRING)

Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC ... Open-Source Generative AI LLMs, including Llama and Dolly * Machine Learning, NLP & Deep Learning

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 ...

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology ... Architecture ----- Time Type: Full time ----- Primary Location: New York New York United States ...

About the Role We are looking for a Senior Generative AI Developer to join our COO Technology ... Systems & Engineering ----- Time Type: Full time ----- Primary Location: New York New York United ...

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 ...

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Full Time Generative Ai information

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

As of Sep 3, 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

Northern Base

Irving, TX • On-site

Full-time

Posted 20 days ago


Job description

Hiring Alert | Generative AI Engineer

Location: Irving, TX (Onsite)
Employment Type: Full-Time
Experience Required: 6+ Years
Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

Must-Have Skills:

  • Python Programming with Major ML Libraries
  • Open-Source Generative AI LLMs, including Llama and Dolly
  • Machine Learning, NLP & Deep Learning
  • Neural Networks & Transformer Architectures
  • Generative AI Techniques
  • GANs & Text-to-Image Generation
  • Text Generation Models
  • SQL & Data Wrangling
  • Data Cleaning & Feature Engineering
  • Model Training, Evaluation & Optimization
  • AWS, Azure, or GCP Experience

Key Responsibilities:

  • Design, develop, and implement advanced AI solutions for complex business problems
  • Collaborate with engineers, researchers, and product managers to translate business requirements into AI solutions
  • Gather, clean, and prepare high-quality data for model training and evaluation
  • Implement advanced deep learning, NLP, computer vision, and Generative AI techniques
  • Evaluate AI model architectures and hyperparameters for performance optimization
  • Address model bias and support responsible AI development

Good-to-Have:

  • On-premises and cloud development experience
  • CI/CD experience
  • Experience with state-of-the-art AI/ML techniques
  • Strong understanding of ethical AI and responsible model development

Education:

  • Bachelor's Degree in Computer Science or related field