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Remote Prompt Engineering Jobs in Phoenix, AZ (NOW HIRING)

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122.30K - $161.20K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/eb37a2b9 -e60d-4cac-8a3b ... Advanced prompt engineering skills, including the ability to establish prompt patterns and ...

AI Automation Engineer -Remote

Phoenix, AZ · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Chandler, AZ · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Scottsdale, AZ · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Glendale, AZ · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Mesa, AZ · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/fecb14e9 -2a0b-4549-a059 ... Basic understanding of prompt engineering for code generation and development tasks * Awareness of ...

Acara Solutions and our client have several remote positions available for Levels-1-3 Software ... Agile experience preferred. * 5+ years of experience in prompt engineering and AI tools to ...

Agentic Software Engineer II

Scottsdale, AZ · Remote

$97.30K - $133.30K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/7bf95196 -a0e0-4a73-97fa ... Familiarity with prompt engineering techniques for code generation and development workflows

... and Prompt Engineering * Preferred experience with ASP.NET, WCF, Web Services, XML, SQL Server ... We offer competitive compensation, a remote-first lifestyle, and career growth opportunities across ...

... RAG workflows, prompt engineering, Azure AI Search, or related technologies preferred ... Phoenix-based hybrid environment preferred, with fully remote options considered for the right ...

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Remote Prompt Engineering information

See Phoenix, AZ salary details

$17

$32

$47

How much do remote prompt engineering jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote prompt engineering in Phoenix, AZ is $32.82, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $37.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Phoenix, AZ? The most popular types of Prompt Engineering jobs in Phoenix, AZ are:
What job categories do people searching Remote Prompt Engineering jobs in Phoenix, AZ look for? The top searched job categories for Remote Prompt Engineering jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Prompt Engineering jobs? Cities near Phoenix, AZ with the most Remote Prompt Engineering job openings:
Infographic showing various Remote Prompt Engineering job openings in Phoenix, AZ as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $68,273 per year, or $32.8 per hour.

Senior Agentic Software Engineer

Provn

Scottsdale, AZ • Remote

$122.30K - $161.20K/yr

Full-time

Posted 7 days ago


Job description

Provn is hiring a Senior Agentic Software Engineer for a travel technology company building its platform on the latest AI-powered development tools. You're not just using AI coding agents (Claude Code, Cursor, GitHub Copilot) in your daily workflow, you're defining how the entire engineering organization uses them.

Comp: Discussed at interview stage. Remote, US-based.

Apply directly here:

provn.co/org/arrivia/jobs/eb37a2b9-e60d-4cac-8a3b-a6dac15711f5/senior-agentic-software-engineer?utm_source=dstribute&utm_medium=job+board&utm_campaign=arrivia-sr-swe

At this level, you operate with broad organizational scope. You architect systems, set technical direction, and drive engineering standards across teams. You'll make the high-impact architectural calls that shape the platform's technical foundation, balance innovation against risk, and lead the company's adoption of agentic development practices. You'll also architect the MCP ecosystem that connects AI agents to internal tools and data, and mentor engineers across the organization.

What you'll be doing:

  • Architecting, designing, and delivering features and services across a full-stack travel platform as a technical leader
  • Writing clean, testable, optimized code, whether authored manually or collaboratively with AI agents
  • Driving the adoption and standardization of agentic coding tools across engineering, including best practices, prompt libraries, and workflows that amplify developer productivity organization-wide
  • Setting the quality standard across teams for reviewing and validating AI-generated code
  • Designing the organization's agentic workflow strategy: patterns and platforms that automate testing, documentation, code review triage, and deployment checks at scale
  • Architecting Model Context Protocol (MCP) integrations that connect AI agents to internal tools, data sources, and platform services, and defining the strategic blueprint for agent capabilities across the development lifecycle
  • Leading refactoring and modernization of services that have outlasted their original implementations using cloud-native distributed design
  • Increasing engineering velocity through processes and implementations that let the team ship quicker, learn sooner, and isolate blast radius
  • Establishing backend and system SLOs that hold up as the platform scales
  • Partnering with Risk and Security teams to safeguard member data
  • Mentoring and guiding engineers across teams on agentic development, prompt engineering, and workflow design

What we're looking for:

  • 8+ years of full-stack development and architectural experience building web applications and services
  • Expert proficiency using AI coding agents in professional development workflows
  • Strong proficiency in two or more of TypeScript/JavaScript, Python, or C#/.NET
  • Deep experience with modern frontend frameworks: React, Next.js, Vue, or Angular
  • Proven ability to architect and deliver cloud-native solutions on AWS, Azure, or GCP
  • Extensive experience with RESTful API design and microservices architecture
  • Demonstrated ability to use AI coding agents to scale engineering velocity, quality, and automation across a team or organization
  • Advanced prompt engineering skills, including the ability to establish prompt patterns and libraries others can build from
  • Deep understanding of the Model Context Protocol (MCP) and experience architecting MCP server ecosystems for secure, structured AI agent access
  • Solid experience with real-time streaming and distributed messaging platforms like Redis, Kafka, or RabbitMQ
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes), CI/CD pipelines, and infrastructure-as-code
  • Agile software delivery experience
  • Significant experience leading technical designs, mentoring engineers, and driving engineering maturity at an organizational level
  • Bachelor's in Computer Science, Computer Engineering, or equivalent experience
  • Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data technologies (GraphRAG, GraphDB)

Must be authorized to work in the US. No visa sponsorship.

About Provn

Your Provn Application is your edge to rise to the top of resume stacks. You will complete a challenge designed in partnership with the hiring manager for this role. Present your approach, your critical thinking, and your solution. Humans, not bots, review and assess your work. And hiring managers are contacting top performers for interview loops. Through challenge-based portfolios and merit-first matching, we connect the world's best talent with the best opportunities, regardless of geography, education, work history, or network.