1

Senior Prompt Engineering Jobs in Wisconsin (NOW HIRING)

Sr. Software Engineer

Glendale, WI · On-site

$114K - $150K/yr

Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ... senior engineer who has shipped AI/ML and GenAI systems in production and can operate as a ...

Sr. Software Engineer

Glendale, WI

$114K - $150K/yr

Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ... senior engineer who has shipped AI/ML and GenAI systems in production and can operate as a ...

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 ... GenAI, etc.) and prompt engineering. Experience designing visual flow editors (React Flow or ...

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 ... GenAI, etc.) and prompt engineering. Experience designing visual flow editors (React Flow or ...

... prompt engineering, evaluation frameworks, guardrails, and workflow design). * Enterprise ... and senior technical stakeholders. The US annualized OTE (On Target Earnings) range for this ...

... prompt engineering, evaluation frameworks, guardrails, and workflow design). * Enterprise ... and senior technical stakeholders. The US annualized OTE (On Target Earnings) range for this ...

Senior Technical Consultant

Madison, WI · On-site

$100K - $200K/yr

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you ... prompt engineering and the latest generative models as a part of transforming how customers run ...

next page

Showing results 1-20

Senior Prompt Engineering information

What are the key skills and qualifications needed to thrive as a Senior Prompt Engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by Senior Prompt Engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a Senior Prompt Engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
What are the most commonly searched types of Prompt Engineering jobs in Wisconsin? The most popular types of Prompt Engineering jobs in Wisconsin are:
What are popular job titles related to Senior Prompt Engineering jobs in Wisconsin? For Senior Prompt Engineering jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Senior Prompt Engineering jobs? Cities in Wisconsin with the most Senior Prompt Engineering job openings:
Senior AI Solutions Engineer

$55.25 - $71.25/hr

Full-time

Re-posted 12 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