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$15

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$76

How much do genai developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for genai developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.

What cities in Texas are hiring for Genai Developer jobs?

Cities in Texas with the most Genai Developer job openings:

Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Forward Deployment Engineer (FDE) GenAI / Full Stack

Irving, TX • On-site

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees
Learn more about Delan Associates, Incexternal

Full-time

Posted 26 days ago

Job description

HIRING: Forward Deployment Engineer (FDE) GenAI / Full Stack

Location: Irving, TX Onsite 5 Days/Week

Experience: 12+ YOE Mandatory | 14+ YOE Preferred

We are looking for a highly experienced Forward Deployment Engineer (FDE) with strong expertise in Generative AI, Agentic AI, and Full-Stack Development to work closely with enterprise LOB teams and drive AI-powered productivity and SDLC transformation.

Key Skills:

* Java 17 + Spring Boot Microservices

* React / Angular / TypeScript

* Python

* GenAI / LLMs / Prompt Engineering

* Devin, Claude Code, Cursor / Copilot

* MCP (Model Context Protocol) Servers & Integrations

* RAG & Multi-Agent Architectures

* Agentic AI & Autonomous Workflows

* APIs, Distributed Systems & Event-Driven Architecture

* CI/CD & Developer Tooling

* OpenShift (OCP) / GCP

* Enterprise Governance & Compliance

Top 3 Must-Haves:

1 Advanced Java 17 + Spring Boot Microservices

2 Strong hands-on GenAI experience, including MCP development

3 Ability to work in fast-paced enterprise environments and drive GenAI adoption

Responsibilities include:

* Design and deploy GenAI-powered solutions

* Integrate AI tools into enterprise SDLC workflows

* Partner with LOB teams to accelerate product delivery

* Lead AI tool onboarding, training, and enablement

* Establish GenAI best practices and adoption strategies

* Optimize AI tool performance and workflows

* Troubleshoot, tune, and scale enterprise AI solutions