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Prompt Engineering Jobs in Arizona (NOW HIRING)

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy ...

Confiz LLC

Principal AI Engineer

Phoenix, AZ · On-site

Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy ...

IntraEdge

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing - Tokenization and embedding models - Model ...

Consumer-Cellular

Vice President, AI Engineering

Scottsdale, AZ · On-site

$210 - $368/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish standards, controls, metrics, and governance for responsible AI development, AI-assisted engineering, model evaluation, prompt management, output validation, human oversight, model ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses. Responsibilities: * Lead the fine-tuning ...

Apex Informatics

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

LLMs and prompt engineering concepts * Agentic frameworks (ADK or similar) Nice to Have * Experience in banking, fintech, or digital platforms * Familiarity with Kubernetes, OpenShift, or cloud ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Lorven Technologies

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

Generative AI, LLMs, prompt engineering, and RAG concepts . * AI-assisted software development, testing, documentation, and code review * Will Collaborates with leaders, business analysts, project ...

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. * Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks. * Conceptual ...

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Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Arizona

Prompt Engineering information

See Arizona salary details

$30.3K

$58.7K

$89K

How much do prompt engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for prompt engineering in Arizona is $58,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Arizona?

The most popular types of Prompt Engineering jobs in Arizona are:

What are popular job titles related to Prompt Engineering jobs in Arizona?

For Prompt Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Arizona look for?

The top searched job categories for Prompt Engineering jobs in Arizona are:

What cities in Arizona are hiring for Prompt Engineering jobs?

Cities in Arizona with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $58,688 per year, or $28.2 per hour.

Python Unix machine learning Support Engineer

Centraprise

Chandler, AZ • On-site

Full-time

Re-posted 25 days ago

Job description

Job Title : Python Unix machine learning Support Engineer
Job Location : Chandler, AZ (ONSITE)
Job Type : Full-Time
Job Description:
Python Unix machine learning Support Engineer
Must Have Technical/Functional Skills
Unix, ShellScripting, Python, Machine learning, Production Support
Roles & Responsibilities
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills
can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning
techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production
use cases.

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