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Stable Diffusion Jobs in Texas (NOW HIRING)

Hands-on with generative image models (GPT-Image-1, Stable Diffusion, ComfyUI). * Proficiency with automation/orchestration platforms ( n8n , Make, Zapier). * Cloud deployment experience (GCP, AWS ...

Hands-on with generative image models (GPT-Image-1, Stable Diffusion, ComfyUI). * Proficiency with automation/orchestration platforms ( n8n , Make, Zapier). * Cloud deployment experience (GCP, AWS ...

Hands-on with generative image models (GPT-Image-1, Stable Diffusion, ComfyUI). * Proficiency with automation/orchestration platforms ( n8n , Make, Zapier). * Cloud deployment experience (GCP, AWS ...

Data Scientist

Dallas, TX · On-site

$90 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Generative AI solutions (GPT, Claude, Stable Diffusion)Predictive AI models (regression, classification, clustering)NLP and Computer Vision applicationsBuild intelligent AI agents and agentic ...

Use of ai tools such as Midjourney, DALL-E, Stable Diffusion, Firefly Travel Requirements * Limited Travel might be required for company events Physical Requirements While performing the duties of ...

Showing results 21-26

Stable Diffusion information

See Texas salary details

$12

$29

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How much do stable diffusion jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for stable diffusion in Texas is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.64 per hour, depending on experience, location, and employer.

What is a stable diffusion?

A Stable Diffusion job typically involves working with AI-powered image generation models, such as Stable Diffusion, to create, fine-tune, or optimize digital artwork and visual content. Responsibilities may include training models, improving prompt engineering, enhancing image quality, and integrating AI-generated visuals into various applications. Roles in this field can range from machine learning engineers and prompt engineers to digital artists and researchers. Skills in Python, deep learning frameworks, and image processing are often valuable.

What are the key skills and qualifications needed to thrive in the stable diffusion position?

To excel as a Stable Diffusion Engineer or Specialist, you need a strong background in machine learning, computer vision, and programming, typically supported by experience with deep learning frameworks and image generation models. Familiarity with tools such as Python, TensorFlow or PyTorch, and specific Stable Diffusion model architectures is commonly expected, along with relevant certifications in AI or data science. Problem-solving skills, creativity, and effective collaboration are key soft skills that help address complex image generation tasks and foster innovation within interdisciplinary teams. These abilities are essential for successfully implementing and optimizing diffusion models in real-world applications, ensuring impactful results and project success.

What are some common challenges faced by stable diffusion engineers in their daily work?

Stable Diffusion Engineers often encounter challenges such as fine-tuning models to balance image quality and computational efficiency, troubleshooting issues with training data consistency, and managing large-scale GPU resources. Collaborating closely with data scientists, artists, and software engineers is essential to ensure that generated images meet project requirements and stakeholder expectations. Additionally, staying current with rapid advancements in generative AI and deep learning techniques is a regular part of the role. These challenges make the position dynamic and rewarding for those who enjoy problem-solving and working on cutting-edge technology in a collaborative environment.

Infographic showing various Stable Diffusion job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $61,171 per year, or $29.4 per hour.

Generative AI/LLM Engineer

Public Storage, Inc.

Frisco, TX • On-site

Other

Posted 22 days ago


Public Storage rating

6.9

Company rating: 6.9 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

4th of 29 rated removal and storage companies


Job description

Company Description
Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.
We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.
We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.
Public Storage is the nation's leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.
Job Description
We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems, voice and image AI models, and automation workflows. This role is onsite in Frisco, TX and will work closely with product, engineering, and operations teams to deliver scalable, production-grade AI/Agent solutions that transform how Public Storage operates and engages with customers.
Key Responsibilities
  • LLM Agent Development: Design, train, and deploy conversational and task-specific AI agents leveraging cutting-edge LLM architectures and tool integrations.
  • RAG Pipelines: Build and optimize Retrieval-Augmented Generation systems for contextual, knowledge-rich AI responses.
  • Voice & Speech AI: Implement and integrate TTS (Text-to-Speech), STT (Speech-to-Text), and Whisper-based transcription pipelines.
  • Generative Image AI: Develop and integrate image generation, recognition, and analysis models for operational and customer-facing use cases.
  • Automation & Orchestration: Create workflow automations using tools like n8n, Make (Integromat), Zapier, and custom Python frameworks.
  • Full-Stack AI Delivery: Build APIs, microservices, and interfaces to deliver AI solutions end-to-end, from data ingestion to UI.
  • Performance Optimization: Monitor, evaluate, and improve AI model performance for accuracy, latency, and scalability.
  • Collaboration: Partner with cross-functional teams to integrate AI capabilities into business processes and customer products.
  • Security & Compliance: Ensure AI solutions adhere to corporate security policies, privacy regulations, and ethical AI principles.

Qualifications
Qualifications
  • Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related discipline.
  • 5+ years of professional Python development experience (APIs, microservices, automation).
  • Proven experience with LLMs (OpenAI, Anthropic, Meta, Mistral, etc.) and frameworks like LangChain or LlamaIndex.
  • Strong knowledge of RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Milvus, Supabase), and semantic search.
  • Experience with TTS/STT systems (OpenAI Whisper, Coqui TTS, ElevenLabs).
  • Hands-on with generative image models (GPT-Image-1, Stable Diffusion, ComfyUI).
  • Proficiency with automation/orchestration platforms (n8n, Make, Zapier).
  • Cloud deployment experience (Google Cloud Platform, AWS, or Azure) for AI services.
  • Solid understanding of AI prompt engineering best practices.

Preferred:
  • Experience with containerization/orchestration (Docker, Kubernetes).
  • MLOps experience with continuous training and deployment workflows.
  • Frontend development skills (React, Next.js, or similar).
  • Prior experience in self-storage, real estate, or retail technology environments

Success in This Role Looks Like
  • Deploying AI-powered agents that improve customer self-service and automate internal processes.
  • Implementing RAG systems that provide contextually accurate responses across multiple business areas.
  • Reducing manual workloads through advanced AI-powered automation.
  • Establishing reusable, scalable AI components for enterprise-wide adoption

Additional Information
Workplace
  • One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month.

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.
**Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.**

What Public Storage employees say

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About Public Storage

Sourced by ZipRecruiter

Public Storage is a leading self-storage real estate investment trust (REIT) in the United States. With thousands of storage facilities across the country, Public Storage offers convenient and secure storage solutions for individuals and businesses. Public Storage facilities provide a range of storage unit sizes to accommodate various needs, from personal belongings to commercial inventory. Public Storage well-maintained and clean facilities are equipped with advanced security systems, including electronic gate access, surveillance cameras, and on-site management, ensuring the safety and protection of stored items.

Industry

Warehousing and storage

Company size

5,001 - 10,000 Employees

Headquarters location

Glendale, CA, US

Year founded

1972

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