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Prompt Engineer Jobs in Appleton, WI (NOW HIRING)

Luvata Appleton, LLC

Buyer

Appleton, WI · On-site

Responsibilities * Responsible for purchasing maintenance and engineering related parts and ... Develop and sustain strong supplier relationships to enable clear communication, prompt issue ...

Luvata Appleton, LLC

Buyer

Appleton, WI

Responsible for purchasing maintenance and engineering related parts and supplies at all assigned ... Develop and sustain strong supplier relationships to enable clear communication, prompt issue ...

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How much do prompt engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for prompt engineer in Appleton, WI is $45.92, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $59.33 per hour, depending on experience, location, and employer.

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.

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.
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Applications Engineer

Applications Engineer

Tweet/Garot Mechanical

De Pere, WI • On-site

Full-time

Posted 13 days ago

Job description

Application Instructions
Please complete all sections of the application thoroughly and accurately. Providing complete information helps us better understand your qualifications and ensures timely consideration of your application.
Position Description
Position Summary:
The Application Engineer will be a problem-solver who designs and develops custom software solutions for our Technology team. This is a hands-on role in growing home grown technology. This role requires an individual with strong problem-solving abilities and a collaborative approach to finding solutions, combined with the tenacity and persistence needed to work through complex challenges. Excellent communication and collaboration skills required as this role is interacting with both technical and non-technical stakeholders, while maintaining the ability to work independently and contribute effectively to team goals.
Duties and Responsibilities:
Solution Development
  • Design, develop, and deploy custom applications tailored to workflows and challenges
  • Write high-quality, clean, and maintainable code using modern programming languages and frameworks
  • Integrate applications with existing construction management systems, third-party APIs, and databases
  • Troubleshoot and debug application issues systematically, identifying root causes and implementing solutions • Develop and maintain database structures and data integrations (SQL and/or NoSQL)
  • Integrate internal applications with third-party tools, APIs, and data sources as needed
  • Troubleshoot and debug issues systematically, identify root causes, and implement durable fixes
  • Develop and test solutions in sandbox environments, coordinating promotion to production through established review and deployment processes
  • Design and build workflow automations and process automation solutions to improve operational efficiency across business units

AI Integration & Innovation
  • Leverage AI programming tools and platforms to enhance application functionality and user experience
  • Implement AI technologies and large language models (LLMs) to automate processes and provide intelligent insights
  • Stay current with emerging AI tools and evaluate their potential applications in construction technology

Problem-Solving & Collaboration
  • Lead requirements discussions with stakeholders and translate business needs into technical designs, user stories, and acceptance criteria
  • Manage multiple concurrent priorities with clear communication on tradeoffs, risks, and timelines
  • Deliver solutions iteratively (MVP ? enhancements), incorporating user feedback and changing business requirements
  • Partner with cross-functional teams-including field personnel and executives-to identify opportunities for technology improvement
  • Contribute to team standards including code review practices, testing expectations, documentation, and release discipline
  • Document solutions and create knowledge-sharing materials for team growth
  • Work within established governance, change control, and production promotion processes to ensure enterprise data integrity and cross-functional alignment

Position Requirements
Preferred Knowledge, Experience & Skills Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred or equivalent professional experience and demonstrated technical proficiency will be considered in lieu of degree
  • 3-5 years of professional software development experience delivering production applications end-to-end
  • Proficiency in modern programming languages (Python, JavaScript, C#, Java, or similar)
  • Experience with web application frameworks and cloud platforms (AWS, Azure, or GCP)
  • Understanding of database design and management (SQL and NoSQL)
  • Familiarity with API development and integration practices • Experience with AI development platforms, LLM APIs, or AI-assisted development tools strongly preferred
  • Knowledge of machine learning concepts and AI integration best practices
  • Experience with AI APIs, prompt engineering, or AI-assisted development tools
  • Interest in exploring new AI technologies and their practical applications

These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required.
Equal Opportunity Employer
TWEET/GAROT MECHANICAL, INC. IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER

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