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Generative Ai Engineer Jobs in Dallas, TX (NOW HIRING)

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 ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

Generative AI Engineer

Fort Worth, TX ยท On-site

$120K - $165K/yr

Generative AI Engineer Location: DFW preferred or open to candidates working remotely in EST/CST timezones Salary Range: $120k to $165k About the Role We are seeking a highly skilled Generative AI ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

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Generative Ai Engineer information

See Dallas, TX salary details

$34.8K

$106K

$175.2K

How much do generative ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for generative ai engineer in Dallas, TX is $105,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Dallas, TX?

The most popular types of Generative Ai Engineer jobs in Dallas, TX are:

What job categories do people searching Generative Ai Engineer jobs in Dallas, TX look for?

The top searched job categories for Generative Ai Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Generative Ai Engineer jobs?

Cities near Dallas, TX with the most Generative Ai Engineer job openings:

Infographic showing various Generative Ai Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $105,991 per year, or $51 per hour.

Generative AI Engineer

Northern Base

Irving, TX โ€ข On-site

Full-time

Posted 9 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