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Generative Ai Developer Jobs in Texas (NOW HIRING)

Fisher Investments

Senior AI Developer

Plano, TX · On-site +1

Our Technology & Transformation organization is expanding its Generative AI capabilities to support ... You'll work with AI engineers, platform teams, and partners who value thoughtful design ...

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 ...

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 ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jun 10, 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.

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 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.
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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:
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Infographic showing various Generative Ai Developer job openings in Texas as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.
Senior AI Developer

Senior AI Developer

Fisher Investments

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Fisher Investments rating

8.4

Company rating: 8.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

This is an exciting and pivotal time to join Fisher Investments. Our Technology & Transformation organization is expanding its Generative AI capabilities to support international growth and modernize how critical departments operate across the firm.

In this role, you'll help shape how AI is responsibly designed, built, and deployed at scale—moving beyond experimentation into production ready, enterprise solutions. You'll work with AI engineers, platform teams, and partners who value thoughtful design, collaboration, and long-term impact over quick fixes.

Fisher Investments is proud to be a Great Place to Work Certified™ organization that invests in learning, growth, and career development.

The Opportunity:

As an AI Engineer on our Data & AI team, you'll design, build, and improve AI solutions that are secure, scalable, and integrated into real workflows. You'll partner closely with AI leads, ML engineers, and application developers to bring AI capabilities into production in a predictable and scalable way. You will report to the AI Team Leader, Technology Innovation.

The Day-to-Day:

  • Design, develop, fine-tune, and deploy generative AI models into scalable production environments
  • Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide
  • Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems
  • Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices
  • Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
  • Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning

Your Qualifications:

  • Demonstrated experience building and evolving software solutions with increasing scope
  • Experience designing and delivering data-driven applications that solve meaningful business problems
  • Extensive experience using Python to develop scalable solutions across a range of business or technical challenges
  • Hands-on experience building AI-powered solutions using large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) approaches
  • Familiarity with generative and multimodal AI models and their real-world applications
  • Experience working with cloud-based AI infrastructure and modern development practices, including CI/CD pipelines and containerized environments (e.g., Kubernetes, Docker)
  • Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience)

If you're excited about this role but don't meet every qualification, we still encourage you to apply.

Preferred Experience:

  • GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks
  • Familiarity with AI agentic frameworks and deploying AI agents in production environments

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

  • 100% paid medical, dental and vision premiums for you and your qualifying dependents
  • A 50% 401(k) match, up to the IRS maximum
  • 20 days of PTO, plus 10 paid holidays
  • Family Support programs including 8 week Paid Primary Caregiver Leave, 10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
  • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

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