AI Prompt Engineer
Chandler, AZ · On-site
ClifyX is a company focused on developing advanced AI solutions, and they are seeking a highly skilled AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role ...
AI Prompt Engineer
Chandler, AZ · On-site
ClifyX is a company focused on developing advanced AI solutions, and they are seeking a highly skilled AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role ...
As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...
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As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...
AI Python Engineer
Phoenix, AZ · On-site
Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks * Develop models for NLP, classification, clustering, anomaly detection, and ...
AI Python Engineer
Phoenix, AZ · On-site
Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks * Develop models for NLP, classification, clustering, anomaly detection, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site +1
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site +1
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site +1
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer - Agentic AI
Phoenix, AZ · On-site +1
Lead by example in coding standards, prompt engineering, and context engineering best practices. Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer (Agentic AI)
Phoenix, AZ · On-site
Lead by example in coding standards, prompt engineering, and context engineering best practices; Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
Staff Engineer (Agentic AI)
Phoenix, AZ · On-site
Lead by example in coding standards, prompt engineering, and context engineering best practices; Conduct code, prompt, and context-pipeline reviews to ensure high code quality, readability, and ...
... 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 ...
... 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 ...
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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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 ...
Design and implement AIforward capabilities, including Prompt Engineering, MCP, and RAGbased patterns, under established architectural guidance to improve automation, decisioning, and developer ...
Design and implement AIforward capabilities, including Prompt Engineering, MCP, and RAGbased patterns, under established architectural guidance to improve automation, decisioning, and developer ...
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 ...
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 ...
Generative AI, LLMs, prompt engineering, and RAG concepts. AI-assisted software development, testing, documentation, and code review. What you'll do • Developer working on maintenance product ...
Generative AI, LLMs, prompt engineering, and RAG concepts. AI-assisted software development, testing, documentation, and code review. What you'll do • Developer working on maintenance product ...
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 ...
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 ...
Design and implement AI-forward capabilities, including Prompt Engineering, MCP, and RAG-based patterns, under established architectural guidance to improve automation, decisioning, and developer ...
Design and implement AI-forward capabilities, including Prompt Engineering, MCP, and RAG-based patterns, under established architectural guidance to improve automation, decisioning, and developer ...
Java GENAI Engineer
Phoenix, AZ · On-site
$100K - $130K/yr
LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...
Java GENAI Engineer
Phoenix, AZ · On-site
$100K - $130K/yr
LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...
AWS AI Platform Engineer
Phoenix, AZ · On-site
$110K - $130K/yr
RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...
AWS AI Platform Engineer
Phoenix, AZ · On-site
$110K - $130K/yr
RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...
Apply AIforward engineering practices, including Prompt Engineering, MCP, and RAGbased patterns, to improve automation, solution quality, and developer productivity within Lending solutions. * Design ...
Apply AIforward engineering practices, including Prompt Engineering, MCP, and RAGbased patterns, to improve automation, solution quality, and developer productivity within Lending solutions. * Design ...
AI/ML Engineer
Phoenix, AZ · On-site
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 ...
AI/ML Engineer
Phoenix, AZ · On-site
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 ...
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 ...
Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs. * Apply Reinforcement Learning from Human Feedback (RLHF) and other ...
Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs. * Apply Reinforcement Learning from Human Feedback (RLHF) and other ...
Prompt Engineer information
See Goodyear, AZ salary details
$9.79 - $16.65
7% of jobs
$16.65 - $23.51
13% of jobs
$23.51 - $30.37
3% of jobs
$31.11 is the 25th percentile. Wages below this are outliers.
$30.37 - $37.24
15% of jobs
The median wage is $42.27 / hr.
$37.24 - $44.10
16% of jobs
$44.10 - $50.96
3% of jobs
$56.92 is the 75th percentile. Wages above this are outliers.
$50.96 - $57.82
20% of jobs
$57.82 - $64.69
9% of jobs
$64.69 - $71.55
7% of jobs
$71.55 - $78.41
3% of jobs
$78.41 - $85.27
3% of jobs
$9
$45
$85
How much do prompt engineer jobs pay per hour?
As of Jul 29, 2026, the average hourly pay for prompt engineer in Goodyear, AZ is $45.64, according to ZipRecruiter salary data. Most workers in this role earn between $34.71 and $58.94 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?
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 typical day look like for a Prompt Engineer?
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 engineer makes $500,000 a year?
Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.
What is a Prompt Engineer job?
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.
Is prompt engineer still a thing?
Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.
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. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.
Is prompt engineer salary?
Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are popular job titles related to Prompt Engineer jobs in Goodyear, AZ? For Prompt Engineer jobs in Goodyear, AZ, the most frequently searched job titles are:
What cities near Goodyear, AZ are hiring for Prompt Engineer jobs? Cities near Goodyear, AZ with the most Prompt Engineer job openings:
Job description
Job Summary:
ClifyX is a company focused on developing advanced AI solutions, and they are seeking a highly skilled AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role involves working with product owners and business stakeholders to operationalize Generative AI across various functions, ensuring compliance and security in banking and financial services.
Responsibilities:
• Design, test, and refine advanced system, user, and tool prompts for frontier LLMs (GPT 4/4.1 class).
• Apply prompt engineering patterns including few shot, zero shot, ReAct, and controlled chain of thought.
• Implement Retrieval Augmented Generation (RAG) using vector search and enterprise knowledge sources.
• Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency.
• Build and deploy AI assistants using Microsoft Copilot Studio.
• Integrate copilots with enterprise APIs, workflows, and data sources.
• Implement responsible AI controls including content filtering, grounding, and hallucination reduction.
• Enforce data privacy, PII masking, and access control in AI workflows.
• Collaborate with Risk, Legal, and Compliance teams to meet regulatory and audit requirements.
• Support model governance, SDLC compliance, and production readiness reviews.
• Document prompt frameworks, AI workflows, and operational standards.
Qualifications:
Required:
• Strong hands-on experience with Microsoft Copilot Studio.
• Proven experience using Azure OpenAI / OpenAI APIs.
• Practical experience with frontier LLMs (GPT 4 class or equivalent).
• Solid understanding of prompt engineering frameworks and design patterns.
• Hands-on experience with RAG architectures and vector search technologies.
• Strong knowledge of tokenization, context windows, and inference latency tradeoffs.
• Proficiency in Python for AI integration and automation.
• Experience working with REST APIs, JSON, and YAML.
• Experience with cloud platforms, preferably Microsoft Azure.
• Familiarity with AI governance, Responsible AI, and model risk management.
• Prior experience delivering enterprise copilots or chatbots at scale.
• Minimum 6+ years of experience.
Preferred:
• Experience with Power Platform (Power Apps, Power Automate).
• Exposure to model evaluation, monitoring, and AI observability tools.
• Knowledge of AI ethics and regulatory expectations in BFSI environments.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company focused on developing advanced AI solutions, and they are seeking a highly skilled AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role involves working with product owners and business stakeholders to operationalize Generative AI across various functions, ensuring compliance and security in banking and financial services.
Responsibilities:
• Design, test, and refine advanced system, user, and tool prompts for frontier LLMs (GPT 4/4.1 class).
• Apply prompt engineering patterns including few shot, zero shot, ReAct, and controlled chain of thought.
• Implement Retrieval Augmented Generation (RAG) using vector search and enterprise knowledge sources.
• Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency.
• Build and deploy AI assistants using Microsoft Copilot Studio.
• Integrate copilots with enterprise APIs, workflows, and data sources.
• Implement responsible AI controls including content filtering, grounding, and hallucination reduction.
• Enforce data privacy, PII masking, and access control in AI workflows.
• Collaborate with Risk, Legal, and Compliance teams to meet regulatory and audit requirements.
• Support model governance, SDLC compliance, and production readiness reviews.
• Document prompt frameworks, AI workflows, and operational standards.
Qualifications:
Required:
• Strong hands-on experience with Microsoft Copilot Studio.
• Proven experience using Azure OpenAI / OpenAI APIs.
• Practical experience with frontier LLMs (GPT 4 class or equivalent).
• Solid understanding of prompt engineering frameworks and design patterns.
• Hands-on experience with RAG architectures and vector search technologies.
• Strong knowledge of tokenization, context windows, and inference latency tradeoffs.
• Proficiency in Python for AI integration and automation.
• Experience working with REST APIs, JSON, and YAML.
• Experience with cloud platforms, preferably Microsoft Azure.
• Familiarity with AI governance, Responsible AI, and model risk management.
• Prior experience delivering enterprise copilots or chatbots at scale.
• Minimum 6+ years of experience.
Preferred:
• Experience with Power Platform (Power Apps, Power Automate).
• Exposure to model evaluation, monitoring, and AI observability tools.
• Knowledge of AI ethics and regulatory expectations in BFSI environments.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998