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Ai Agent Developer Jobs in Iowa (NOW HIRING)

Kemin

Senior Software Engineer

Des Moines, IA · Hybrid

$119K - $157K/yr

Apply advanced prompt engineering to direct AI tools across code generation, debugging, refactoring, and documentation tasks; evaluate AI agent output for architectural fit and take responsibility ...

Kemin

Senior Software Engineer

Des Moines, IA · On-site

$119K - $157K/yr

Apply advanced prompt engineering to direct AI tools across code generation, debugging, refactoring, and documentation tasks; evaluate AI agent output for architectural fit and take responsibility ...

Teradata Corporation (SE)

Senior AI Engineer

Des Moines, IA · On-site

$120 - $180/hr

... agent-based AI solutions that significantly enhance developer productivity across the organization. You will work on AI agents and platforms across Software Development Lifecycle and design them to ...

New

Humana

Lead, Offensive Security

Des Moines, IA · On-site

Contributing practitioner requirements to, or extending, agentic AI offensive tooling (multi-agent orchestration, MCP servers, LLM-as-judge) built by an AI-engineering team. * Deeper adversarial ML ...

New

Wells Fargo

AI Solutions Lead

Des Moines, IA · Hybrid

About this role Wells Fargo is seeking an AI Solutions Lead to own AI solution delivery within ... Engineer, or Solutions Architect preferred). * Fluency with low-code / no-code and agent platforms ...

Berkley

AI Technology Leader

Urbandale, IA · On-site

Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective. * Familiarity with ...

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Ai Agent Developer information

See Iowa salary details

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$45K

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How much do ai agent developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai agent developer in Iowa is $45,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $47,900.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Iowa? The most popular types of Ai Agent Developer jobs in Iowa are:
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What cities in Iowa are hiring for Ai Agent Developer jobs? Cities in Iowa with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Iowa as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $45,019 per year, or $21.6 per hour.

Senior Agentic AI Specalist

Midwest Family Mutual Insurance Company

Urbandale, IA • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

Job Type
Full-time
Description
Position Summary
The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort.
The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality.
Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment.
Application Requirements
Cover Letter and Resume:
Please include the following in your cover letter
  • A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality
  • Your approach to reducing incorrect or unsupported outputs
  • An example of how you supported other developers or teams in adopting AI capabilities
  • Your physical remote work location state
  • Salary expectations

Responsibilities:
  • Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes.
  • Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production.
  • RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources.
  • Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior.
  • Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns.
  • Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate.
  • Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling.
  • Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production.
  • Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed.
  • Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches.
  • Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate.

Requirements
Education & Certification
  • College degree or Programming Certification (preferred)
  • 5+ years of equivalent work experience
Required Experience
  • Experience building or working with AI/LLM-based systems in a production or near-production environment
  • Strong understanding of agent-based patterns (ReAct, tool usage, etc.)
  • Experience with retrieval-based systems (RAG), vector stores, or search pipelines
  • Familiarity with evaluating non-deterministic system outputs
  • Experience improving system quality through testing and iteration
  • Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred
  • Ability to work across technologies and integrate AI solutions into an existing enterprise environment
Preferred Experience
  • Experience working with multiple LLM providers
  • Familiarity with emerging tools and frameworks in the agentic AI space
  • Experience integrating with enterprise systems and data sources
  • Experience mentoring or supporting other developers
Personal Attributes
  • Strategic thinker with strong analytical and problem-solving skills
  • Technically proficient with broad systems knowledge
  • Excellent interpersonal, written, and verbal communication skills
  • Self-directed, collaborative, and highly organized
  • Customer-oriented and able to navigate high-pressure environments
  • Flexible and adaptable in regards to learning and understanding new technologies.
  • Exceptional organizational skills and ability to keep track of multiple projects at a time.
  • Ability to conduct research into software-related issues and products.
  • Technically proficient.
  • Exceptional attention to detail.
  • Ability to work both independently and in a team-oriented, collaborative environment.
Work Conditions
  • Remote work environment following core hours 8AM-5PM Central Time
  • Overtime may be required to meet project deadlines or monitor system processes.
  • Sitting for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices.
  • Minimal travel will be required for the purpose of off-site software training and team meetings.
  • Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

Apply