ZipRecruiter

Log In

1

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

SumasEdge Corporation

Generative AI Lead

Irving, TX · On-site

$134K - $165K/yr

Contribute to prompt engineering and development of AI-powered workflows * Assist with the ... Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.

Damco Solutions

GEN AI Developer

Dallas, TX · On-site

Damco Solutions is seeking a Generative AI Specialist responsible for designing, developing, and ... programming skills in languages such as Python, TensorFlow, or PyTorch • Experience with deep ...

Innorev Technologies, Inc

AI Lead( Generative AI)

Irving, TX · On-site

$134K - $165K/yr

Key Responsibilities: · Contribute to prompt engineering and development of AI-powered workflows ... Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. · ...

Judge Group, Inc.

Senior AI Developer

Southlake, TX · On-site

$85 - $90/hr

Apply Generative AI strategies to reduce context switching and accelerate delivery across various engineering workflows. Translate low-level design artifacts (such as class structures, API contracts ...

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 ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

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

Qualizeal

Tech Lead AI Engineer

Dallas, TX · On-site

$101K - $134K/yr

Design and implement generative AI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector databases. Build AI agents and workflows capable ...

previous pagenext page

Showing results 21-40

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Dallas, TX

Generative Ai Developer information

See Dallas, TX salary details

$18

$44

$100

How much do generative ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for generative ai developer in Dallas, TX is $44.99, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $54.47 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Dallas, TX?

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

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

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $93,582 per year, or $45 per hour.

Generative AI Lead

SumasEdge Corporation

Irving, TX • On-site

$134K - $165K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Key Responsibilities:

  1. Contribute to prompt engineering and development of AI-powered workflows
  2. Assist with the deployment, monitoring, and maintenance of AI models in production environments.
  3. Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
  4. Perform data preprocessing, feature engineering, and API development for AI applications.
  5. Participate in code reviews, testing, and documentation to ensure quality and reliability.
  6. Stay updated with advancements in GenAI and share relevant learnings with the team.

Required Technical Skills:

  1. Familiarity with LLMs, prompt engineering, and workflow orchestration.
  2. Exposure to RAG systems and basic knowledge of hybrid search techniques.
  3. Exposure to Multi-Agent systems.
  4. Understanding of model deployment and containerization (Docker).
  5. Proficiency in Python for AI development, data preprocessing, and scripting.
  6. Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
  7. Understanding of version control systems (Git).
  8. Awareness of AI compliance, data privacy, and responsible AI principles.
  9. Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous)

Required Soft Skills:

  1. Strong teamwork and communication abilities.
  2. Willingness to learn new AI/ML technologies and frameworks.
  3. Analytical mindset and attention to detail.
  4. Openness to feedback and continuous improvement.

Apply