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

Northern Base

Generative AI Engineer

Irving, TX · On-site

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 ...

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · 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 ...

PB consulting

Generative AI Engineer

Irving, TX · On-site

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 ...

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Become an Azure AI Engineer and: Collaborate with clients to design and build impactful AI solutions on Microsoft Azure. Work on various project phases, from ideation to deployment, across generative ...

@Orchard

Senior Azure Generative AI Engineer

Dallas, TX · On-site

$95/hr

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using Microsoft ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Winaxis

AI Engineer

Dallas, TX · On-site

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

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Generative Ai Engineer information

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$37.6K

$114.6K

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How much do generative ai engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for generative ai engineer in Dallas, TX is $114,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $149,900.00 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 are popular job titles related to Generative Ai Engineer jobs in Dallas, TX?

For Generative Ai Engineer jobs in Dallas, TX, the most frequently searched job titles 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:

Generative Ai Engineer jobs near you
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 $114,617 per year, or $55.1 per hour.

Generative AI Engineer

Northern Base

Irving, TX • On-site

Full-time

Posted 14 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