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Gen Ai Engineer Jobs in Texas (NOW HIRING)

Hiring Alert | Gen AI Engineer Location: Austin, TX (Onsite) Employment Type: Full-Time Experience Required: 8-10 Years Visa Type: All Valid USA Visas (Including OPT) | Prior Apple Experience ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

Sr. Gen AI Engineer

Dallas, TX · On-site

$100K - $138K/yr

As a Gen AI Engineer, you will collaborate with other AI engineers, product engineers, and infra teams to build, evaluate, and iterate on AI-powered systems. You'll bring a deep understanding of ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

ClifyX is a company seeking a Gen AI Engineer to develop and implement innovative generative AI models. The role involves hands-on coding, data manipulation, and applying advanced AI techniques to ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

ClifyX is a company focused on innovative AI solutions, and they are seeking a GEN AI Engineer to develop and implement cutting edge generative AI models. The role involves hands-on coding, data ...

Tata Consultancy Services is looking for a Gen AI Engineer to join their Apple Content Solutions Team, focusing on projects based on Generative AI. The role involves developing AI-driven automation ...

Gen AI Lead - TX

Irving, TX

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Senior Gen AI / Agentic AI Engineer Role Overview We are seeking a highly skilled Senior Gen AI / Agentic AI Engineer to design, build, and deploy enterprise-grade Generative AI and Agentic AI ...

Gen. AI Engineer

Fort Worth, TX · On-site

$97K - $133K/yr

Overview We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation ...

Gen AI Engineer

Plano, TX · On-site

$40 - $50/hr

Paid time off * Vision insurance Qualifications: * 10+ years of software engineering and ... Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS * AWS AI ...

Syntricate Technologies is seeking a Gen AI Developer to join their team. The role involves working with Generative AI technologies, including Lang Chain and fine-tuning models, to enhance data ...

Lead Gen AI Engineer

Irving, TX · On-site

$98K - $129K/yr

... Graph preferred Crew AI or Auto Gen to automate complex multistep business logic · MLOps ... engineering teams · Strategic Communication Translate high level business requirements into ...

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Gen Ai Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do gen ai engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for gen ai engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are popular job titles related to Gen Ai Engineer jobs in Texas?

For Gen Ai Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Gen Ai Engineer jobs in Texas look for?

The top searched job categories for Gen Ai Engineer jobs in Texas are:

What cities in Texas are hiring for Gen Ai Engineer jobs?

Cities in Texas with the most Gen Ai Engineer job openings:

Infographic showing various Gen Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Gen AI Engineer

Austin, TX • On-site

Full-time

Posted 24 days ago


Job description

Hiring Alert | Gen AI Engineer

Location: Austin, TX (Onsite)

Employment Type: Full-Time

Experience Required: 8–10 Years

Visa Type: All Valid USA Visas (Including OPT) | Prior Apple Experience Required

Must-Have Skills:

• Generative AI & Large Language Models (LLMs)

• Strong Java & Python Development

• AI-Driven Automation Solutions Development

• AI Agentic Frameworks & MCP (Model Context Protocol)

• LLM Libraries (Anthropic SDK or Similar)

• Prompt Engineering & LLM Orchestration

• LLM Evaluation Frameworks & Responsible AI Practices

• REST API Development & Automated API Testing

• Java/Kotlin Development

• CI/CD using Maven & Jenkins

• Kubernetes Container Orchestration

• Docker & Containerization

• Test Automation Frameworks

• API Testing & Troubleshooting

• Documentation & Technical Communication

• Cross-Functional Collaboration (QA, DevOps, UX)

Preferred Experience:

• Prior Apple experience (Strongly Preferred)

• Experience integrating enterprise applications with LLMs

• Experience designing AI-powered automation workflows

• Strong understanding of CI/CD strategies for cloud applications

• Containerization and virtualization using Docker & Kubernetes

• Familiarity with AI/ML solutions and cloud-native applications

• Strong analytical, problem-solving, and automation testing skills

Education:

Bachelor's or Master's Degree in Computer Science or equivalent experience preferred.

Tech Stack:

Generative AI | LLMs | Java | Python | Kotlin | REST APIs | AI Agentic Frameworks | MCP | Anthropic SDK | Prompt Engineering | LLM Evaluation | Responsible AI | Maven | Jenkins | Docker | Kubernetes | CI/CD | API Testing | Test Automation | Cloud Applications | Apple Pay | AI Automation