ZipRecruiter

Log In

1

Generative Ai Developer Jobs in Round Rock, TX (NOW HIRING)

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Syntricate Technologies

Gen AI Developer

Austin, TX · On-site

The role involves working with Generative AI technologies, including Lang Chain and fine-tuning ... engineering Qualifications : Required : • Experience with GenAI • Experience with Lang Chain ...

Judge Group, Inc.

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

NET AI Developer Location : On-site in Southlake, TX or Austin, TX Duration : 6 months with ... Hands-on experience utilizing Generative AI coding assistants (e.g., GitHub Copilot) across SDLC ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

Judge Group, Inc.

Senior Java AI Developer

Austin, TX · On-site

$70 - $75/hr

Bachelor's degree in Computer Science, Software Engineering, a related technical field, or ... Experience using Generative AI coding assistants (e.g., GitHub Copilot, Claude Code) across SDLC ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX

... DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. · Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX · On-site

$120 - $180/hr

... DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. * Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative ...

next page

Showing results 1-20

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Round Rock, TX

Generative Ai Developer information

See Round Rock, TX salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai developer in Round Rock, TX is $42.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.11 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 Round Rock, TX?

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

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

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Round Rock, TX as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,844 per year, or $42.2 per hour.

Generative AI Engineer

MDAEdge

Austin, TX • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable AI applications while collaborating with architects and developers.
Responsibilities:
• Develop pipelines to parse documents, chunk, vectorise, and store vector data.
• Design schemas for vector stores to optimise retrieval efficiency.
• Create prompt templates using advanced prompt engineering techniques.
• Implement few-shot prompting strategies for improved LLM interactions.
• Develop semantic agents and interfaces for seamless agent collaboration.
• Build microservices and expose them as APIs for scalable solutions.
• Work closely with architects and full-stack developers to deliver AI solutions.
• Apply best practices for data management and model deployment.
• Ensure scalability and performance of generative AI applications.
Qualifications:
Required:
• Designed and developed scalable generative AI platforms for enterprise use cases.
• Built end-to-end pipelines for document parsing, chunking, vectorisation, and storage in vector databases like FAISS, Pinecone, and Chroma.
• Created and optimised vector store schemas for efficient semantic retrieval.
• Developed prompt templates using few-shot and zero-shot prompting techniques.
• Engineered semantic agents and built interfaces for agent collaboration in LLM workflows.
• Built and deployed microservices exposing LLM capabilities through scalable APIs.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

Apply