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Prompt Engineering Jobs in Hawaii (NOW HIRING)

Machine Learning Engineer

Honolulu, HI ยท On-site +1

$110K - $145K/yr

Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG). * Experience with Agile/Scrum methodologies. Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid ...

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

Software Engineer, Backend

Honolulu, HI ยท On-site

$155K - $222K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

Senior Software Engineer, Backend

Honolulu, HI ยท On-site +1

$165K - $241K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

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Showing results 1-20

Prompt Engineering information

See Hawaii salary details

$33.8K

$65.4K

$99.2K

How much do prompt engineering jobs pay per year?

As of Aug 4, 2026, the average yearly pay for prompt engineering in Hawaii is $65,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $74,800.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are the most commonly searched types of Prompt Engineering jobs in Hawaii? The most popular types of Prompt Engineering jobs in Hawaii are:
What cities in Hawaii are hiring for Prompt Engineering jobs? Cities in Hawaii with the most Prompt Engineering job openings:
Infographic showing various Prompt Engineering job openings in Hawaii as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,431 per year, or $31.5 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI โ€ข On-site, Remote

$110K - $145K/yr

Full-time

Posted 14 days ago


Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)