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Internship Generative Ai Prompt Engineer Jobs in Wisconsin

Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ... orchestration, and agent frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework)

Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ... orchestration, and agent frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework)

WI · On-site

$110 - $160/hr

... Generative AI|Prompt Engineering Technical Skills 4 Technology|Generative AI|Conversational AI Platform Technical Skills 5 Overview Infosys Topaz is an AI-first suite of services, solutions, and ...

AI Engineer

Oregon, WI · On-site

$120 - $190/hr

Design and develop AI‑powered applications using Large Language Models (LLMs), Generative AI, and ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Temporary AI Engineer

Oregon, WI · On-site

$120 - $170/hr

Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

$52.75 - $72.75/hr

... Python Developer - Generative AI / RAG (m/f/d) in Vienna. The focus of the role is on the ... Implementation of prompt construction, prompt templates and context-management strategies

WI · On-site

$150 - $190/hr

Hands‑on experience implementing Generative AI solutions, including LLMs, RAG architectures, prompt engineering, and AI workflows. * Strong understanding of system reliability, observability ...

WI · On-site

$132 - $190/hr

... Generative AI, LLMs, AI agents, and scalable AI software systems. This role blends hands-on ... Design and implement production-grade AI solutions, including prompt and context engineering ...

New

WI · On-site

$130 - $160/hr

Develop and operationalize generative AI applications leveraging large language models (LLMs ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

WI · On-site

$140 - $210/hr

Working knowledge of modern generative AI patterns: prompt and context design, embeddings and ... The role earns trust across product, engineering, and business groups by communicating candidly and ...

$66.25 - $87.25/hr

Development and design of modern AI and Generative AI architectures * Conception of scalable ... Experience with prompt engineering, RAG architectures or agent-based AI systems * Experience in ...

WI · On-site

$147.20 - $210.30/hr

... Generative AI (GenAI), across our healthcare technology platforms. This role involves building and ... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ...

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

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Internship Generative Ai Prompt Engineer information

What is the difference between Internship Generative Ai Prompt Engineer vs Data Analyst?

AspectInternship Generative Ai Prompt EngineerData Analyst
Required CredentialsRelevant coursework, basic understanding of AI and NLPBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageAI development, NLP projects, prompt optimizationData collection, analysis, reporting, visualization

While both roles involve working with data and technology, the Internship Generative Ai Prompt Engineer focuses on designing prompts for AI models, whereas a Data Analyst interprets data to inform business decisions. The prompt engineer role emphasizes AI and NLP skills, often in tech environments, while data analysts work across various industries analyzing datasets for insights.

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Cities in Wisconsin with the most Internship Generative Ai Prompt Engineer job openings:

Senior Software Engineer - Generative AI

Sheboygan, WI • On-site, Remote

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
Acuity will include at least one in-person interview during the hiring process for all positions.
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:
Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field.
EXPERIENCE:
A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
OTHER QUALIFICATIONS:
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant's education, experience, knowledge, skills, and abilities.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.