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Llm Prompt Engineer Jobs in Iowa (NOW HIRING)

Pwc

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Pwc

GenAI Python Systems Engineer-Manager

Des Moines, IA · On-site

$99K - $232K/yr

... prompt engineering for LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying ...

Pwc

GenAI Python Systems Engineer-Director

Des Moines, IA · On-site

$155K - $410K/yr

... prompt engineering for LLM outputs - Developing scalable data storage solutions using cloud services - Designing and managing data warehouses and data lakes - Implementing IAM roles and policies for ...

Pwc

AI Solutions Engineering Delivery Lead

Des Moines, IA · On-site

$100K - $131K/yr

... LLM applications - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud ...

UiPath

Technical Account Manager - Healthcare

Denver, IA · On-site +1

$94K - $170K/yr

Hands-on experience building agentic or LLM-powered solutions - including prompt engineering, tool/function design, agent orchestration, and output validation. * Demonstrated ability to diagnose ...

All JobsLlm Prompt Engineer JobsLlm Prompt Engineer Jobs in Iowa

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 Iowa?

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

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

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

Llm Prompt Engineer jobs near you

Software Engineer 4 - Binod

Des Moines, IA • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Posted 4 days ago

Job description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Java Engineer with Gen AI experience in Charlotte NC or , W Des Moines IA (Hybrid). W2 only
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months +
You will have opportunities to learn event driven architecture concepts (Kafka/PubSub), contribute to UI enhancements using Angular or React, and participate in cloud aligned development as applications evolve within Consumer Lending's technology ecosystem.
This role is ideal for developers with strong curiosity, a willingness to challenge themselves to solve real business/technical problems, and a passion for building real production grade solutions that support critical Home Lending workflows.
In this role, you will:
Provide information to technology colleagues, internal partners, and stakeholders
Design, code, test, debug, and document features and bug fixes using Java and Spring Boot
Build and consume RESTful APIs supporting microservices and transaction workflows
Learn and apply engineering standards, secure SDLC practices, and API design best practices
Apply database skills (SQL/NoSQL) to write queries, validate data flows, troubleshoot data issues, and support application logic.
Use AI assisted development tools such as GitHub Copilot to accelerate coding, generate test cases, and explore solution alternatives.
Build Agents using Gen AI and Agentic AI technologies
Collaborate with other engineers and cross functional partners in Home Lending Technology to support delivery goals and solution design.
Gain exposure to event driven architecture concepts (Kafka, Pub Sub) and learn how messaging patterns support distributed systems.
Contribute to frontend or UI tasks using Angular or React when opportunities arise, helping develop or update internal user interfaces.
Participate in Agile ceremonies, including standups, retros, sprint planning, and code reviews, while incorporating feedback from mentors.
Learn cloud ready development concepts for Java applications deployed on internal or cloud platforms
Contribute to Generative AI features (LLM enabled workflows such as summarization, extraction, and assistant experiences) under guidance
Must have:
Copilot usage
LLM experience
Agent familiarity
React
Required Skills
4-7 years experience
Java expert
Spring Boot expert
Microservices experience
Modern React exposure
AI tooling experience
Production mindset
Architectural awareness
1 year of AI based dev experience using GitHub Copilot/Claude/Devin
0.5 year Generative AI and Agentic AI experience (Google ADK, Lang Chain, MCP)
0.5 year of Prompt Engineering experience
Medium Importance:
Splunk
Kubernetes
CI/CD
Liquibase
Testing frameworks
Kafka
Nice-to-Have:
Mortgage experience
AI certifications
Georgia Tech-style AI education

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