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Ai Agent Developer Jobs in Iowa (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Des Moines, IA · On-site

$101K - $136K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

Teradata

Principal AI Architect

Des Moines, IA · On-site

Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments. * Deep ...

New

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... This role directly supports Auzmor's Phase 2 (2025) goals of launching AI agent training modules ...

Accenture

AI Native Software Engineer

Des Moines, IA · On-site

Agent Architecture & Engineering * Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle ...

Fundraise Up

Sr. AI Engineer

Estherville, IA · Remote

$188K - $200K/yr

About The Role The Sr. AI Engineer is a highly technical role dedicated to building and deploying ... Agent Architecture Design: Define precise technical requirements for scalable agent architecture ...

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 ...

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Ai Agent Developer information

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$27.2K

$45K

$93.5K

How much do ai agent developer jobs pay per year?

As of Jun 24, 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.

What is an AI Agent Developer job?

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.

Is AI agent developer a good career?

AI agent developer is a growing field focused on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and data analysis, with job prospects improving as AI technology advances. The role offers opportunities in various industries such as tech, healthcare, and finance, often with competitive salaries and demand for specialized knowledge.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees. Compensation at this level may include base salary, bonuses, stock options, and other benefits, reflecting the role's seniority and impact.

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 much does an AI agent developer make?

AI agent developers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, natural language processing, and programming languages like Python tend to command higher salaries, especially in tech hubs or companies with advanced AI projects.

Are AI agents replacing developers?

AI agents are tools that can assist developers by automating repetitive tasks and improving efficiency, but they are not replacing developers entirely. The role of a developer involves complex problem-solving, creativity, and decision-making that AI cannot fully replicate. Developers continue to be essential for designing, maintaining, and overseeing AI systems and other software projects.
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:
What are popular job titles related to Ai Agent Developer jobs in Iowa? For Ai Agent Developer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Iowa look for? The top searched job categories for Ai Agent Developer jobs in Iowa are:
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 June 2026, with employment types broken down into 12% Internship, 64% Full Time, 8% Part Time, and 16% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $45,019 per year, or $21.6 per hour.

AI Developer

American technologies consulting

West Des Moines, IA • On-site

Contractor

Posted 23 days ago

Job description

Job Overview

We are seeking a skilled AI Developer to design, build, and deploy autonomous AI agents from scratch. This role involves creating intelligent systems that can perceive environments, make decisions, and execute actions in real-world or simulated scenarios. You will leverage machine learning, Python, and specialized frameworks like LangChain and LangGraph to develop scalable AI agents for applications such as automation, robotics, virtual assistants, or multi-agent simulations.

Key Responsibilities
  • Architect and implement AI agents from the ground up using frameworks such as LangChain for chaining LLMs and tools, and LangGraph for stateful, graph-based agent workflows, including perception modules (e.g., using computer vision or NLP), decision-making logic (e.g., via reinforcement learning or planning algorithms), and action execution components.
  • Develop and train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to enable agent learning and adaptation, integrating with LangChain/LangGraph for advanced agent orchestration.
  • Integrate AI agents with external systems, APIs, databases, and environments (e.g., simulation tools like OpenAI Gym or real-world interfaces), ensuring seamless tool usage and memory management via LangChain components.
  • Optimize agents for performance, scalability, and robustness, including handling edge cases, ethical considerations, and safety protocols within graph-structured agent designs.
  • Collaborate with cross-functional teams (e.g., data scientists, software engineers) to iterate on agent designs based on feedback and testing.
  • Conduct experiments, simulations, and evaluations to refine agent behaviors and ensure reliability in production.
  • Document code, architectures, and methodologies for reproducibility and team knowledge sharing.
  • Stay current with advancements in AI agent technologies, such as large language models (LLMs), multi-agent systems, and emerging frameworks like LangChain and LangGraph.
Required Skills and Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proficiency in Python programming, with strong experience in ML libraries (e.g., TensorFlow, PyTorch, NumPy, Pandas) and agent-specific tools (e.g., LangChain, LangGraph, AutoGen, RLlib, Hugging Face Transformers).
  • Hands-on experience building AI agents from scratch using LangChain for tool integration and agent chains, LangGraph for multi-step reasoning and state management, including reinforcement learning, state machines, graph-based planning, or evolutionary algorithms.
  • Solid understanding of data structures, algorithms, software engineering principles, and version control (e.g., Git).
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying agents, and tools like Docker/Kubernetes for containerization.
  • Strong problem-solving skills, with the ability to debug complex systems and work in agile, fast-paced environments.
  • Excellent communication skills to articulate technical designs and collaborate effectively.
Preferred Qualifications
  • Experience with specialized domains like natural language processing (NLP), computer vision, robotics (e.g., ROS), or game AI, integrated with LangChain/LangGraph.
  • Knowledge of big data tools (e.g., Spark, Hadoop) or databases (SQL/NoSQL) for handling large-scale agent data.
  • Prior work with multi-agent systems, ethical AI, or real-time applications using advanced frameworks.
  • Contributions to open-source AI projects or a portfolio demonstrating agent-building expertise (e.g., GitHub repos showcasing LangChain/LangGraph implementations).