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Llm Prompt Engineer Jobs in Wisconsin (NOW HIRING)

AgenticOps Engineer

WI · On-site +1

Preferred • Experience with prompt evaluation frameworks, LLM observability tools (e.g., LangSmith, Braintrust, Humanloop), or building internal evaluation harnesses. • Background in developer ...

Ai Engineer

Milwaukee, WI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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)

Ai Engineer

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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)

Ai Engineer

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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)

AI Engineer

Glendale, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

Senior Fullstack Engineer, Solve

Madison, WI

$123K - $162K/yr

We're seeking a Senior Fullstack Engineer to help build Solve - an AI-powered conversation engine ... Integrate with LLM providers through a unified abstraction layer and build specialized prompt ...

Senior Fullstack Engineer, Solve

Madison, WI · On-site

$123K - $162K/yr

We're seeking a Senior Fullstack Engineer to help build Solve - an AI-powered conversation engine ... Integrate with LLM providers through a unified abstraction layer and build specialized prompt ...

AI Engineer

Glendale, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

AI Engineer

Glendale, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

LLM Agents & Prompt Engineering * Architect and implement LLM agents. * Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor). * Integrate vector databases and ...

LLM Agents & Prompt Engineering * Architect and implement LLM agents. * Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor). * Integrate vector databases and ...

LLM Agents & Prompt Engineering * Architect and implement LLM agents. * Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor). * Integrate vector databases and ...

WI · On-site

$150 - $190/hr

Develop LLM-based applications that analyze logs, telemetry, and operational data to generate ... RAG architectures, prompt engineering, and AI workflows. * Strong understanding of system ...

Senior Software Engineer - Generative AI

Sheboygan, WI · On-site +1

$132K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM based and agentic systems. * Demonstrate professionalism and integrity while serving as a role ... Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI ...

Senior Software Engineer - Generative AI

Sheboygan, WI · On-site

$132K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM based and agentic systems. * Demonstrate professionalism and integrity while serving as a role ... Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI ...

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Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

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

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

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

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

What cities in Wisconsin are hiring for Llm Prompt Engineer jobs?

Cities in Wisconsin with the most Llm Prompt Engineer job openings:

$55.25 - $71.25/hr

Full-time

Re-posted 14 days ago


Job description

Architect, develop, and deploy software solutions at high velocity using an AI-first, agentic development workflow.  This role demands a language-agnostic polyglot developer who leverages LLM-powered coding agents as a force multiplier to deliver 10x the output of traditional development approaches.  Additional responsibilities include system integrations, BI solutions, and supporting Tech-Ops infrastructure on-premises and in-cloud.


AI-FIRST SOFTWARE DEVELOPMENT

  • Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology.
  • Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task.
  • Maintain and extend integration platform operations (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
  • Participate in review / recommendation of externally purchased IT solutions and services.
  • Manage hardware and software vendor relationships
  • Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output.
  • Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks.
  • Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures

BUSINESS ANALYSIS

  • Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis
  • Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards
  • Implement and manage long-term, system-wide IT initiatives that align with the company’s business strategy and objectives 

HARDWARE AND PLATFORM SUPPORT

  • Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC’s, operating systems, and office automation equipment – both on premise and in-cloud PaaS & IaaS
  • Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems
  • Recommend efficient and cost-effective technological equipment, systems, platforms and services
  • Identify problematic areas and implement strategic solutions in a timely manner
  • Maintain confidentiality of proprietary information
  • Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools

Education and Experience:

  • Position requires a Bachelor’s degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment. 

  • Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method. 

  • Must be a language polyglot comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework. 

  • Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management. 

  • Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential. 

  • Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages expected; experience with Epicor, Jitterbit, and Salesforce preferred. 

  • Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities:

  • Proven expertise with agentic LLM coding tools and AI-assisted development workflows. 
  • Ability to work fluently across multiple programming languages and technology stacks without being dependent on any single ecosystem. 
  • Strong prompt engineering skills for code generation, debugging, and architectural planning. 
  • Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns. 
  • Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form. 
  • Effectively present information to employees, management, and customers. 
  • Create business-level written correspondence and verbally present information to large or small groups, both internally and externally. 
  • Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment. 

Working Conditions/Physical Demands:

  • Office environment, with occasional lifting and bending