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Generative Ai Developer Jobs in Texas (NOW HIRING)

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to ...

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 ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

CBTS

Senior AI Developer (Azure AI)

Bay City, TX · On-site

$75/hr

Senior AI Developer (Azure AI) Location: Bay City, TX (Onsite, Mon Thurs, 4x10 Schedule) Employment ... Build Generative AI and RAG-based solutions using Azure OpenAI and enterprise data sources.

BravoTech

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

AI/ML Engineering ... Generative AI / LLMs * PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face

Cognowiz

Senior AI Developer

Plano, TX · On-site

Generative AI & Large Language Models (LLMs) * PyTorch, TensorFlow, Scikit-learn * LangChain ... Data Engineering & Data Architecture * SQL and Data Modeling * Key Responsibilities AI Development ...

Involgix

Gen AI Developer

Irving, TX · On-site

Gen AI Engineer Location: Irving, TX Required Skills: * Strong experience in TypeScript and Node.js ... Experience with Generative AI / LLM integrations. * Familiarity with OpenAI, Azure OpenAI, Claude ...

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Lead the integration and application of Generative AI coding assistants throughout the System ... Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of ...

SelectMinds

AI Architect Agentic Generative AI

Dallas, TX · On-site

$62.50 - $82.50/hr

You will collaborate with cross-functional teams in product, engineering, data, and security to ... AI/ML or generative AI solutions in production environments. Hands-on experience with Amazon ...

Aquent Talent

Senior AI Developer [210505]

Southlake, TX · On-site

$51.25 - $67.75/hr

Lead the integration and application of Generative AI coding assistants throughout the System ... Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of ...

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

You will integrate generative-AI features into our products and internal platforms, combine ... NET and SQL engineering teams responsible for backend services and data-layer integration with AI ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Texas

Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for generative ai developer in Texas is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 popular job titles related to Generative Ai Developer jobs in Texas? For Generative Ai Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Texas look for? The top searched job categories for Generative Ai Developer jobs in Texas are:
What cities in Texas are hiring for Generative Ai Developer jobs? Cities in Texas with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 90% Full Time, 5% Part Time, 1% Contract, and 2% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.
Sr. Generative AI Developer

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Posted 13 days ago

Job description

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview 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 .

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