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Generative Ai Engineer Jobs in Texas (NOW HIRING)

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

SWBC

AI Engineer

Shavano Park, TX · On-site

$110 - $130/hr

Overview As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives ... You will work with emerging technologies--including agentic AI frameworks, generative AI models ...

Tixy Services LLC

Sr Agentic AI Engineer

Plano, TX · On-site

$117K - $155K/yr

Develop and execute Generative AI and Agentic AI roadmaps aligned with business and transformation objectives. * Continuously improve agent performance, reliability, accuracy, and scalability.

GEI Consultants

AI Engineer

Dallas, TX · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Swbc

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

SWBC

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

SWBC

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Winaxis

AI Engineer

Dallas, TX · On-site

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

Citi

Principal Generative AI Engineer, SVP

Irving, TX · On-site

Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Northern Base

Gen AI Engineer

Austin, TX · On-site

Generative AI & Large Language Models (LLMs) * Strong Java & Python Development * AI-Driven ... Prompt Engineering & LLM Orchestration * LLM Evaluation Frameworks & Responsible AI Practices

Conflux Systems

AI Engineer with Python

Texas City, TX · On-site

Plano, TX | Columbus, OH | Wilmington, DE Job Summary We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications using modern machine learning and generative AI ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Texas

Generative Ai Engineer information

See Texas salary details

$35.4K

$107.9K

$178.4K

How much do generative ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for generative ai engineer in Texas is $107,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,100.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Texas?

The most popular types of Generative Ai Engineer jobs in Texas are:

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

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

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

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

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

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

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $107,946 per year, or $51.9 per hour.

AI Engineer

Precision Technologies Corp

Dallas, TX • On-site

Contractor

Re-posted 10 days ago

Job description

Role: AI Engineer

Location: Dallas, TX
Employment Type: Contract

Key Skills – AI, Python, Rag, LLM

Overview
We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications. This role combines hands-on development with AI research and training responsibilities. The ideal candidate will design, prototype, and productionize AI agents, integrate them into enterprise workflows, and publish training resources to help teams adopt and apply AI effectively.

You will work across front-end, back-end, and AI services, leveraging frameworks such as React.js, FastAPI, and Azure AI Foundry, while exploring the latest Generative AI, RAG, and agentic frameworks.

 

Key Responsibilities

AI Development

  • Design, prototype, and productionize AI agents capable of intelligent communication, information retrieval, and task execution.
  • Develop and optimize high-performance code for LLM-based and Agentic AI models.
  • Drive the roadmap for Generative AI use cases, ensuring scalability and real-world impact.

Collaboration with Teams

  • Partner with transformation, engineering, and business teams to tailor AI agents for domain-specific workflows.
  • Work with AI platform teams to ensure robust infrastructure, observability, and monitoring.

Integration & Deployment

  • Lead and contribute to AI projects from POC to production.
  • Deploy, monitor, and scale AI solutions on Azure, AWS, or GCP, using containerized environments (Docker, Kubernetes).
  • Integrate AI pipelines into front-end and back-end applications.

Continuous Learning & Optimization

  • Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks).
  • Perform testing, validation, and performance tuning for compliance and reliability.
  • Research and publish internal training resources, workshops, and documentation to upskill teams.

Technologies & Tools

  • LLMs: OpenAI, LLaMA, Mistral, Gemini, Claude, Grok
  • Agentic Frameworks: Langchain, CrewAI, A2A, LLaMAIndex, RAG pipelines
  • Programming & Frameworks: Python, FastAPI, SQL, CosmosDB, Flask, Streamlit, Chainlit
  • Frontend: React, Angular
  • Cloud & Deployment: Azure Faundry, Azure OpenAI, Docker, Kubernetes, VectorDBs
  • Other Tools: Hugging Face Transformers, TensorFlow, Cognitive Services

Qualifications

Education

  • Bachelor’s degree in computer science, Data Science, AI/ML, or related field (required).
  • Master’s degree (preferred).

Experience

  • 7–8 years of hands-on experience in developing, deploying, and scaling AI/ML solutions.
  • Proven success with Generative AI, NLP/NLU, and AI agent frameworks.
  • Experience leading AI-focused projects and collaborating with business & technical stakeholders.

Technical Skills

  • Strong proficiency in Python and SQL.
  • Familiarity with front-end technologies (React, Angular).
  • Experience with containerization and cloud services (Azure/AWS/GCP).
  • Solid understanding of prompt engineering, LLM fine-tuning, and RAG techniques.

Soft Skills

  • Clear communication — able to explain complex AI concepts to technical and non-technical audiences.
  • Collaboration & teamwork — works well across engineering, business, and research teams.
  • Adaptability — thrives in fast-moving environments with evolving AI tools.
  • Curiosity & learning mindset — passionate about exploring and teaching new AI capabilities.
  • Problem-solving & critical thinking — proactive in diagnosing issues and designing innovative solutions.
  • Knowledge sharing — ability to research and publish training materials to foster AI adoption across the organization.