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Senior Prompt Engineering Jobs in Arizona (NOW HIRING)

Senior Java Backend Developer - GenAI

Phoenix, AZ · On-site

$119K - $155K/yr

Senior Java Backend Developer - GenAI Position SummaryWe are seeking a Senior Java Backend ... Implement AI Agents, tool/function calling, prompt engineering, structured outputs, and workflow ...

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Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the ... Design and implement prompt engineering strategies to help the model produce more accurate ...

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

Job Title: Sr Software Engineer Location: Phoenix AZ (Hybrid) Mandatory Skills: * Angular * Node ... Generative AI, LLMs, prompt engineering, and RAG concepts . * AI-assisted software development ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the ... Design and implement prompt engineering strategies to help the model produce more accurate ...

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term ... Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering ...

Senior Agentic Software Engineer

Scottsdale, AZ · On-site

$123K - $162K/yr

As a Senior Agentic Software Engineer , you are a product-minded, full-stack engineer who ships ... Standardize agentic coding tools across engineering teams, establishing best practices, prompt ...

Senior Agentic Software Engineer

Scottsdale, AZ · On-site

$123K - $162K/yr

As a Senior Agentic Software Engineer , you are a product-minded, full-stack engineer who ships ... Standardize agentic coding tools across engineering teams, establishing best practices, prompt ...

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.

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Senior Prompt Engineering information

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

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by Senior Prompt Engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a Senior Prompt Engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
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 Senior Prompt Engineering jobs in Arizona? For Senior Prompt Engineering jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Senior Prompt Engineering jobs? Cities in Arizona with the most Senior Prompt Engineering job openings:

Senior Java Backend Developer - GenAI

OmegaHires

Phoenix, AZ • On-site

$119K - $155K/yr

Contractor

Posted 3 days ago

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Job description

Senior Java Backend Developer - GenAI
Job Description: Position SummaryWe are seeking a Senior Java Backend Developer with 8+ years of experience building enterprise-grade backend applications and mandatory hands-on experience with Generative AI (GenAI) technologies. The ideal candidate must possess strong expertise in Java, Spring Boot, Microservices, Distributed Systems, Kafka, Cloud Technologies, and LLM-powered application development.
This role focuses on designing and delivering secure, scalable, AI-enabled backend services for Digital Banking platforms. Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.
Required Experience8+ years of hands-on Java Backend Development experience.3+ years of hands-on Generative AI development experience (Mandatory).Strong experience building enterprise applications using Java, Spring Boot, and Microservices.Experience working in Banking, Financial Services, FinTech, or highly regulated environments is highly preferred.
Key ResponsibilitiesDesign and develop scalable backend applications using Java, Spring Boot, and Microservices.Build enterprise-grade RESTful APIs and event-driven applications using Kafka.Design distributed systems with high availability, resiliency, fault tolerance, and scalability.Develop AI-powered backend services using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.Implement AI Agents, tool/function calling, prompt engineering, structured outputs, and workflow orchestration.Integrate vector databases and semantic search capabilities into enterprise applications.Develop secure APIs for AI services while ensuring governance, compliance, and data privacy.Collaborate with Product Managers, Architects, and Data Science teams to deliver AI-driven business capabilities.Mentor engineers and participate in architecture discussions, code reviews, and technical design sessions.Build CI/CD pipelines and support production deployments.