1

Llm Prompt Engineer Jobs in Madison, WI (NOW HIRING)

Senior Fullstack Engineer, Solve

Madison, WI ยท 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 ...

Senior Fullstack Engineer, Solve

Madison, WI ยท 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

Oregon, WI ยท On-site

$120 - $190/hr

Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Temporary AI Engineer

Oregon, WI ยท On-site

$120 - $170/hr

Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

You understand the sharp edges: prompt brittleness, context limits, tool failures, cost and latency ... Hands-on experience designing and operating LLM-based systems (agents, orchestration, retrieval ...

... LLM integration patterns. Make critical decisions about model selection, prompt strategies, and ... While not necessarily managing people directly, you'll mentor senior engineers, conduct technical ...

Senior Software Engineer

Madison, WI ยท On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Madison, WI ยท On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Platform Architect

Madison, WI ยท On-site

$200K - $300K/yr

Practical experience developing, selling, and building around Artificial Intelligence, including conversational BOTs (e.g., Amazon Lex) and cutting-edge LLM/AI agent ecosystems (prompt engineering ...

Senior Platform Architect

Madison, WI ยท On-site

$200K - $300K/yr

Practical experience developing, selling, and building around Artificial Intelligence, including conversational BOTs (e.g., Amazon Lex) and cutting-edge LLM/AI agent ecosystems (prompt engineering ...

Sr. AI Integration Analyst

Madison, WI ยท On-site

$78K - $156K/yr

Exposure to LLM APIs, prompt engineering, or agentic workflow concepts. * Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP ...

Exposure to LLM APIs, prompt engineering, or agentic workflow concepts. * Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP ...

Exposure to LLM APIs, prompt engineering, or agentic workflow concepts. * Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP ...

Llm Prompt Engineer information

See Madison, WI salary details

$37

$58

$85

How much do llm prompt engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for llm prompt engineer in Madison, WI is $58.66, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $71.68 per hour, depending on experience, location, and employer.

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 job categories do people searching Llm Prompt Engineer jobs in Madison, WI look for?

The top searched job categories for Llm Prompt Engineer jobs in Madison, WI are:

What cities near Madison, WI are hiring for Llm Prompt Engineer jobs?

Cities near Madison, WI with the most Llm Prompt Engineer job openings:

Senior Fullstack Engineer, Solve

Zendesk

Madison, WI โ€ข On-site

$123K - $162K/yr

Full-time

Re-posted 23 days ago


Job description

Job Description

About the Role

Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.


We're seeking a Senior Fullstack Engineer to help build Solve - an AI-powered conversation engine that resolves customer issues across channels. You'll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished front-end experiences that customers rely on to automate support.

What you'll be doing

Extend the multi-turn conversation engine: manage intent routing, context preservation,
streaming responses, and human handoff across channel integrations.
Build and optimize the RAG pipeline: embeddings, semantic retrieval, hybrid ranking, and evidence-based answer construction to reduce hallucinations.
Architect and implement the visual workflow/prompt builder experience (React) for designing branching conversational flows and tool integrations.
Integrate with LLM providers through a unified abstraction layer and build specialized prompt strategies for tasks like clarification and validation.
Create data visualization and analytics surfaces to help customers monitor intent performance and AI impact.
Maintain high quality via testing, observability, and performance improvements across frontend and backend.

Basic qualifications


3+ years professional fullstack engineering experience with production ownership.
Proficiency with Python backend frameworks (FastAPI recommended) and
React/TypeScript frontends.
Experience with search, caching, and message/event streaming technologies.

Preferred qualifications


Previous experience with LLM providers (OpenAI, Google GenAI, etc.) and prompt engineering.
Experience designing visual flow editors (React Flow or similar) and rich text editors.
Familiarity with embedding stores and retrieval pipelines at scale.
Prior work on multi-tenant SaaS and real-time streaming systems.

The US annualized base salary range for this position is $145,000.00-$217,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.