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Game Ai Engineer Jobs in Iowa (NOW HIRING)

Varsity Tutors

Video Game Design Tutor

Ames, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... programming for games, art asset creation, and playtesting methodology. Ability to explain game ...

Varsity Tutors

Video Game Design Tutor

Iowa City, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... programming for games, art asset creation, and playtesting methodology. Ability to explain game ...

Sony

$50/hr

... in movie , game , and music creation, as well as technologies for the ethical operations of ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

... in movie , game , and music creation, as well as technologies for the ethical operations of ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

... in movie , game , and music creation, as well as technologies for the ethical operations of ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

... in movie , game , and music creation, as well as technologies for the ethical operations of ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

... in movie , game , and music creation, as well as technologies for the ethical operations of ... You will receive support from internal scientists and engineers in your efforts. Required ...

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All JobsGame Ai Engineer JobsGame Ai Engineer Jobs in Iowa

Game Ai Engineer information

See Iowa salary details

$49.3K

$133.3K

$168.6K

How much do game ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for game ai engineer in Iowa is $133,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $156,900.00 per year, depending on experience, location, and employer.

What does a game AI engineer do?

A Game AI Engineer is responsible for designing and implementing artificial intelligence systems that control the behavior of non-player characters (NPCs) and other elements in video games. They use programming languages and algorithms to create lifelike or challenging behaviors that enhance the gaming experience. Game AI Engineers work closely with game designers and artists to ensure that AI meets gameplay requirements and creates engaging interactions. Their tasks can include pathfinding, decision-making, and adapting AI to player actions.

What are the key skills and qualifications needed to thrive as a game AI engineer?

To thrive as a Game AI Engineer, you need a strong background in computer science, algorithms, and mathematics, typically supported by a relevant degree and experience in game development. Familiarity with programming languages such as C++ or Python, game engines like Unity or Unreal, and version control systems is essential, along with knowledge of AI frameworks. Creative problem-solving, collaboration, and effective communication are valuable soft skills that help bridge technical and design teams. These skills ensure the development of intelligent, engaging game experiences and efficient integration of AI systems within complex game architectures.

What are some common challenges game AI engineers face when developing AI for modern video games?

Game AI Engineers often encounter challenges such as balancing AI difficulty to suit a wide range of players, ensuring non-player characters behave believably, and optimizing AI algorithms to run efficiently without impacting game performance. Collaboration with designers and artists is crucial to align AI behaviors with the game's vision and narrative. Additionally, engineers need to continuously adapt to new hardware capabilities and emerging AI techniques to keep gameplay engaging and realistic.

What is the difference between Game Ai Engineer vs Game Programmer?

AspectGame Ai EngineerGame Programmer
Primary FocusDesigning and implementing AI systems for game characters and environmentsWriting and optimizing game code, including gameplay mechanics and systems
Skills & CredentialsKnowledge of AI algorithms, scripting, C++, Python, game development toolsProficiency in programming languages like C++, C#, experience with game engines
Work EnvironmentGame studios, often collaborating with designers and artistsGame studios, working on core game systems and features

Game Ai Engineers focus on creating intelligent behaviors for game entities, while Game Programmers handle broader game development tasks. Both roles require strong programming skills and often overlap, but their core responsibilities differ in AI design versus general game coding.

What are popular job titles related to Game Ai Engineer jobs in Iowa?

For Game Ai Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Game Ai Engineer jobs in Iowa look for?

The top searched job categories for Game Ai Engineer jobs in Iowa are:

What cities in Iowa are hiring for Game Ai Engineer jobs?

Cities in Iowa with the most Game Ai Engineer job openings:

Game Ai Engineer jobs near you
Infographic showing various Game Ai Engineer job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,320 per year, or $64.1 per hour.

AI Developer

American technologies consulting

West Des Moines, IA • On-site

Contractor

Re-posted 7 days ago

Key responsibilities

  • Design, build, and deploy autonomous AI agents using frameworks like LangChain and LangGraph.

  • Develop and train machine learning models to enable agent learning, integration, and decision-making.

  • Integrate AI agents with external systems, APIs, and environments, ensuring seamless tool usage and memory management.

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).