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Prompt Engineer Jobs in Phoenix, AZ (NOW HIRING)

Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server within the Grafana ecosystem ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

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 ...

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.

Senior Java Backend Developer - GenAI

Phoenix, AZ · On-site

$119K - $155K/yr

Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation * Develop ... Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious ...

Senior Agentic Software Engineer

Scottsdale, AZ · On-site

$123K - $162K/yr

You will shape how the whole organization adopts agentic development, defining the patterns, prompt libraries, and MCP integrations that multiply every engineer's impact, using tools like Claude Code ...

Senior Agentic Software Engineer

Scottsdale, AZ · On-site

$123K - $162K/yr

You will shape how the whole organization adopts agentic development, defining the patterns, prompt libraries, and MCP integrations that multiply every engineer's impact, using tools like Claude Code ...

Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring) * Strong programming skills in ...

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Champion Responsible AI -- Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards

Role - Senior Full-Stack Engineer (Node.js / Angular / MongoDB / Camunda) - Agentic Engineering ... model ops practices: prompt/version management, testing/validation, A/B or shadow testing ...

Showing results 21-40

Prompt Engineer information

See Phoenix, AZ salary details

$10

$46

$87

How much do prompt engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for prompt engineer in Phoenix, AZ is $46.75, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $60.38 per hour, depending on experience, location, and employer.

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.

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.

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.

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 exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.
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Infographic showing various Prompt Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 9% Internship, 69% Full Time, 12% Part Time, and 10% Contract. Highlights an 43% In-person, and 57% Remote job distribution, with an average salary of $97,245 per year, or $46.8 per hour.

Forward Deployed Engineer Intern - AI Implementation

Nextiva

Scottsdale, AZ

Internship

Posted 12 days ago


Job description

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.


Location: This is an onsite role based at Nextiva's Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity.

In-Office Expectation: This role is expected to work onsite four days per week. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity.


At Nextiva, we build technology that helps businesses create amazing customer experiences. Our AI-powered customer experience platform brings together voice, messaging, automation, and intelligence to help organizations work smarter and serve customers better.

As a Forward Deployed Engineer Intern, you'll work directly with customers as they begin using Nextiva Expert AI. You'll help transform business requirements into working AI Employees by configuring prompts, workflows, routing logic, and AI behaviors within our platform.

This internship combines customer interaction, AI implementation, and solution design. Rather than writing production code, you'll configure AI solutions using Nextiva's platform, helping customers see value from day one while learning how enterprise AI implementations work in real-world environments.

You'll receive structured onboarding and mentorship from experienced Forward Deployed Engineers, allowing you to build technical skills while developing customer-facing consulting experience.

What You'll Do

  • Partner with Sales through live customer handoffs following product purchase.
  • Guide customers through Xbert AI onboarding and initial platform setup.
  • Configure AI Employees for common business use cases.
  • Write and refine prompts that produce reliable, predictable AI responses.
  • Build deterministic conversation flows and workflow logic.
  • Configure greetings, routing, transfers, business hours, and after-hours experiences.
  • Configure prebuilt tools and simple API-enabled functions within the platform.
  • Test AI prompts, workflows, and customer experiences before deployment.
  • Train customers on how to use and manage their AI Employees.
  • Document customer requirements, configurations, implementation notes, and next steps.
  • Recognize when customer requirements require deeper technical expertise and partner with the Forward Deployed Engineering team.
  • Maintain clear customer communication throughout implementation.
  • Share customer feedback with Product, Engineering, and internal stakeholders to improve the platform.

About You

You enjoy solving problems, learning new technology, and working directly with customers. You can explain technical concepts clearly and are excited about applying AI to real business challenges.

You have:

  • Excellent verbal and written communication skills
  • Confidence presenting technical concepts in a simple, customer-friendly way
  • Experience writing prompts, building AI assistants, or creating prompt-based automations
  • Foundational knowledge of large language models such as OpenAI, Claude, Gemini, or Llama
  • Understanding of prompt engineering and how prompts influence model behavior
  • Basic knowledge of APIs, including inputs, outputs, parameters, and common response patterns
  • Familiarity with workflows, tool calling, or function calling concepts
  • Strong analytical thinking and problem-solving skills
  • A collaborative mindset and willingness to ask questions and learn
  • Availability to work a schedule aligned with Arizona business hours

Nice to Have:

While not required, experience with any of the following is a plus:

  • Python
  • Low-code or no-code automation platforms
  • Conversational AI or chatbot development
  • API integrations
  • Retrieval-Augmented Generation (RAG)
  • Embeddings or vector databases
  • AI evaluation frameworks, prompt testing, or model benchmarking

What You'll Gain:

  • Hands-on experience implementing AI solutions for real customers
  • Practical exposure to prompt engineering, AI workflows, tool calling, and customer onboarding
  • Mentorship from experienced Forward Deployed Engineers
  • Experience working at the intersection of AI, customer success, and solutions engineering
  • The opportunity to contribute to customer implementations that deliver measurable business value

Nextiva DNA (Core Competencies)

Nextiva's most successful team members share common traits and behaviors:

  • Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
  • Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
  • Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.

Total Rewards

Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.