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Associate 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 ...

Holmes Murphy

AI Engineer

Waukee, IA · On-site

Lead AI agent governance efforts, including lifecycle management, configuration, access controls ... Holmes Murphy & Associates is an Equal Opportunity Employer. #LI-SM1

Holmes Murphy

AI Engineer

Waukee, IA · On-site

Lead AI agent governance efforts, including lifecycle management, configuration, access controls ... Holmes Murphy & Associates is an Equal Opportunity Employer. #LI-SM1

Holmes Murphy

AI Engineer

Waukee, IA · On-site

Lead AI agent governance efforts, including lifecycle management, configuration, access controls ... Holmes Murphy & Associates is an Equal Opportunity Employer. #LI-SM1

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 ...

Meta

IA

$193K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies * Experience with network telemetry platforms ...

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All JobsAssociate Ai Agent Developer JobsAssociate Ai Agent Developer Jobs in Iowa

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

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 Associate Ai Agent Developer jobs in Iowa? For Associate Ai Agent Developer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Associate Ai Agent Developer jobs in Iowa look for? The top searched job categories for Associate Ai Agent Developer jobs in Iowa are:
What cities in Iowa are hiring for Associate Ai Agent Developer jobs? Cities in Iowa with the most Associate Ai Agent Developer job openings:
Associate Ai Agent Developer jobs near you
Infographic showing various Associate Ai Agent Developer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

AI Developer

American technologies consulting

West Des Moines, IA • On-site

Contractor

Re-posted 10 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).