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Prompt Engineer Jobs in Hawaii (NOW HIRING)

Raft

Software Engineer (AI Focus)

Honolulu, HI · On-site

... prompt engineering and LLM integration patterns • Experience with Python for AI/ML workflows and data processing • Experience with workflow analysis and process optimization methodologies • ...

Pearson

Staff Software Engineer

Honolulu, HI · On-site

When you find a pattern that ships across engagements -- a prompt structure, an evaluation harness, an integration shim, an agent template -- you push it back to the platform and engineering teams so ...

New

Worky

AI Solutions Engineer

Honolulu, HI · On-site

Integrate LLM APIs and apply prompt engineering techniques to connect retrieval systems with generative models. * Demonstrate basic DevOps and security awareness on AWS, including IAM roles ...

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Prompt Engineer information

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$10

$48

$91

How much do prompt engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for prompt engineer in Hawaii is $48.92, according to ZipRecruiter salary data. Most workers in this role earn between $37.21 and $63.17 per hour, depending on experience, location, and employer.

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 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.

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.

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.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Hawaii?

The most popular types of Prompt Engineer jobs in Hawaii are:

What are popular job titles related to Prompt Engineer jobs in Hawaii?

For Prompt Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Hawaii look for?

The top searched job categories for Prompt Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Prompt Engineer jobs?

Cities in Hawaii with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Hawaii as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $101,755 per year, or $48.9 per hour.

Software Engineer (AI Focus)

Honolulu, HI • On-site

Raft
IT Services • 11 - 50 employees
Learn more about Raftexternal

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development. They are seeking a Software Engineer (AI Focus) to develop user-facing applications that leverage AI technologies for operational environments, working closely with product managers and AI researchers.
Responsibilities:
• Lead full-stack feature development from ideation to production in close coordination with product managers, AI researchers, and mission stakeholders
• Conduct user research and workflow analysis to identify inefficiencies and translate business requirements into AI-enabled technical solutions
• Build modern front-end applications using ReactJS, Tailwind, and component libraries integrated with LLM-based services (Claude, OpenAI, open-source models)
• Design and build backend APIs and microservices for scalable deployment and retrieval-augmented generation (RAG)
• Work with ML engineers to shape model prompts, feedback loops, and in-app integration based on user workflow requirements
• Support disconnected/air-gapped deployment patterns and ensure secure, testable, and maintainable code
• Collaborate with end users, developers, designers, and DevSecOps engineers to continuously improve AI-enabled workflow solutions
Qualifications:
Required:
• 3+ years of experience as a full stack engineer building modern web applications
• Strong proficiency in ReactJS and JavaScript/TypeScript ecosystem
• Experience building and consuming RESTful or GraphQL APIs
• Understanding of AI/ML concepts and experience integrating AI services into applications
• Strong communication skills with ability to conduct user interviews and translate business requirements into technical solutions
• A user-centered mindset with attention to accessibility, responsiveness, and clean design
• Familiarity with state management, routing, component-driven development
• Understanding of secure coding practices in sensitive or regulated environments
• Comfort working in fast-paced, iterative development cycles and on cross-functional teams
• Obtain Security+ certification within the first 90 days of employment with Raft
• Active Secret with the ability to obtain and maintain a Top Secret security clearance
Preferred:
• Experience working with AI/ML frameworks and libraries (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)
• Knowledge of prompt engineering and LLM integration patterns
• Experience with Python for AI/ML workflows and data processing
• Experience with workflow analysis and process optimization methodologies
• Understanding of automation tools and workflow orchestration platforms
• Experience with cloud-native AI services (AWS Bedrock, Azure OpenAI, Google AI Platform)
• Ability to identify bottlenecks and inefficiencies in existing workflows through user research and data analysis
• Knowledge of database design and optimization for AI-enabled applications
• Experience with process mapping, user journey analysis, and workflow optimization
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with vector databases and semantic search technologies
• Experience with containerization and cloud-native deployment patterns
• Understanding of model fine-tuning and prompt optimization techniques
• Experience with CI/CD pipelines and collaborative development practices
Company:
Raft develops data integration, AI, and software platforms that support defense, national security, and government mission operations. Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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