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Prompt Engineer Jobs in Irving, TX (NOW HIRING)

Photon

Senior UI Engineer

Plano, TX · On-site

$125K - $155K/yr

Client is looking for a hands-on UI resource with experience in React or React Native, along with AI skills such as Python, prompt engineering, and agent development. So ideally, we need a person ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Work with Generative AI, LLMs, prompt engineering, or RAG-based applications. * Deploy and monitor ML models in cloud or production environments. * Collaborate with software engineers and data teams ...

CCS INC

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Compunnel

Senior AI Engineer Agentic Systems

Plano, TX · On-site

$100K - $137K/yr

The ideal candidate will have deep expertise in Python, LangChain/LangGraph, GenAI prompt engineering, PyTorch, OpenAI technologies, and modern testing and DevOps practices. This role focuses on ...

CCS INC

AI/ML Engineer

Plano, TX · On-site

$125 - $150/hr

Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering

dhanutek

AI / LLM Engineer

Dallas, TX · On-site

Very strong prompt engineering skills, function calling, RAG architectures * Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen or similar) * Vector databases (Pinecone, Milvus, Chroma, etc.

New

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Danta Technologies

Agentic AI Engineer

Dallas, TX · On-site

Strong understanding of LLMs, prompt engineering, RAG, and vector databases * Experience developing production-ready AI/ML applications Key Responsibilities * Design, develop, and deploy Agentic AI ...

YO AI Labs

Mental Health Expert - Remote

Dallas, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Irving, TX

Prompt Engineer information

See Irving, TX salary details

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$45

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How much do prompt engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for prompt engineer in Irving, TX is $45.21, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $58.41 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Irving, TX?

The most popular types of Prompt Engineer jobs in Irving, TX are:

What are popular job titles related to Prompt Engineer jobs in Irving, TX?

For Prompt Engineer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Irving, TX look for?

The top searched job categories for Prompt Engineer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Prompt Engineer jobs?

Cities near Irving, TX with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Irving, TX as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, and 22% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $94,046 per year, or $45.2 per hour.

Senior UI Engineer

Photon

Plano, TX • On-site

$125K - $155K/yr

Other

Posted 17 days ago

Job description

Job Title: Senior UI Engineer (React/React Native AI Development)
Location: Plano TX
Note:
Client is looking for a hands-on UI resource with experience in React or React Native, along with AI skills such as Python, prompt engineering, and agent development. So ideally, we need a person with both Web & Mobile Dev exp.
Job Description:
We are seeking a highly skilled and hands-on UI Engineer with strong expertise in React.js and/or React Native, combined with practical experience in AI application development. The ideal candidate should be capable of building modern, scalable user interfaces while leveraging AI technologies such as Python, Prompt Engineering, LLM integrations, and AI Agent development to create intelligent user experiences.
Key Responsibilities:
  • Design, develop, and maintain responsive web and mobile applications using React.js and/or React Native.
  • Build reusable UI components and ensure a seamless user experience across platforms.
  • Integrate AI/LLM-powered capabilities into applications using APIs and frameworks.
  • Develop and enhance AI-driven workflows, copilots, chatbots, and intelligent assistants.
  • Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and user experience.
  • Develop and orchestrate AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar platforms.
  • Collaborate with Product, UX, and backend teams to deliver end-to-end solutions.
  • Participate in architecture discussions, code reviews, and performance optimization initiatives.
  • Stay updated on emerging UI and AI technologies and recommend innovative solutions.
Required Skills:
UI Development:
  • Strong hands-on experience with React.js and/or React Native.
  • Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3.
  • Experience with state management libraries such as Redux, Zustand, or Context API.
  • Familiarity with REST APIs and modern frontend development practices.
AI & Automation:
  • Strong programming skills in Python.
  • Experience with Prompt Engineering and LLM-based application development.
  • Hands-on experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI services.
  • Experience building and deploying AI Agents and agentic workflows.
  • Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases, and embeddings.
  • Understanding of AI application monitoring, evaluation, and optimization techniques.
Preferred Qualifications:
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Experience developing AI-powered products, copilots, or conversational applications.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
Nice to Have:
  • Exposure to MCP (Model Context Protocol).
  • Experience with AI observability tools.
  • Knowledge of GraphQL and microservices architectures.
  • Mobile application deployment experience on iOS and Android platforms.
Key Traits:
  • Hands-on problem solver with strong ownership.
  • Ability to bridge UI engineering and AI innovation.
  • Excellent communication and stakeholder management skills.
  • Passion for emerging AI technologies and modern frontend ecosystems.

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