ZipRecruiter

Log In

1

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

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 ...

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 ...

Robustware

Oracle AI Developer

Dallas, TX · On-site

$56.25 - $69.75/hr

Oracle AI Developer Location: Dallas, TX & Alpharetta, NJ - Middletown/Bedminster (Onsite ... Oracle Fusion Applications, OCI, Oracle Integration Cloud, Autonomous Database, Generative AI, and ...

Addison Group

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

The ideal candidate combines software and data engineering fundamentals with genuine enthusiasm for generative AI. Because the field and team are still evolving, this person must be comfortable ...

New

Addison Group

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

The ideal candidate combines software and data engineering fundamentals with genuine enthusiasm for generative AI. Because the field and team are still evolving, this person must be comfortable ...

Citi

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Prompt Engineering, Workflow Design, and GenAI Optimization Tools & Platforms: GitHub Copilot (multiple models), Citi Squad ...

Citi

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Prompt Engineering, Workflow Design, and GenAI Optimization Tools & Platforms: GitHub Copilot (multiple models), Citi Squad ...

Diamondbackenergy

AI Developer

Dallas, TX

Hands-on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar) * Familiarity with software engineering fundamentals ...

Diamondback Energy

AI Developer

Dallas, TX · On-site

Hands-on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar) * Familiarity with software engineering fundamentals ...

Citi

Generative AI Senior Delivery Lead

Irving, TX · On-site

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

New

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical Skills: * Python Programming: Advanced proficiency in Python, including experience with asynchronous ...

next page

Showing results 1-20

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 Aug 31, 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.

Senior Generative AI Developer

Programmers.io

Irving, TX • On-site

$116K - $157K/yr

Full-time

Re-posted 20 days ago

Job description

Job Description:
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 have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities:
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications
8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.