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Game Ai Jobs (NOW HIRING)

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

Santa Monica, CA · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Skydance

Senior Gameplay Engineer

OR · Remote

$150K - $180K/yr

Own large-scale AI features from concept through ship * Identify and resolve performance, scalability, and technical design challenges across gameplay systems. * Partner closely with Design ...

Roberts Recruiting, LLC

SDK Engineer

Boston, MA · On-site

... game AI, 3D engines, WebGL, scripting systems, tools programming, CMS, animation tools, data visualization Preferred : • Experience with TypeScript and C++ • Experience with Pixi.js, React.js ...

Tencent

Senior Researcher

Palo Alto, CA · On-site +1

$127K - $297K/yr

... game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities. 3. Track and explore cutting-edge technologies and real-world applications of ...

Hellyeah AI Inc

Senior BD Manager

San Francisco, CA · On-site

Work directly with founders to build pipeline, close deals, and shape the GTM motion across mobile, gaming, AI, and tech. Selling a product that sells itself once people see the data. Must Have: 1. ...

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All JobsGame Ai Jobs

Game Ai information

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$7

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How much do game ai jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for game ai in the United States is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Game Ai vs Game Programmer?

AspectGame AiGame Programmer
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of AI algorithmsBachelor's in Computer Science or Software Engineering; programming skills
Work EnvironmentGame development teams, focusing on AI systems and behaviorsGame development teams, focusing on coding, systems, and gameplay mechanics
Industry UsageDesigning intelligent behaviors for NPCs and game systemsImplementing game features, mechanics, and systems through coding

Game Ai specialists focus on creating intelligent behaviors for non-player characters and game systems, utilizing AI algorithms. Game Programmers handle the coding and implementation of game features and mechanics. While both roles work closely in game development, Game Ai emphasizes AI techniques, whereas Game Programmers focus on software development and coding.

What are common challenges faced by game AI developers when collaborating with game designers and artists?

Game AI developers often encounter challenges in balancing technical feasibility with creative vision. They must translate designers’ ideas for character behavior into algorithms that feel natural within the game’s constraints, while also ensuring their code integrates smoothly with art assets and animations. Communication is key, as AI developers frequently participate in cross-disciplinary meetings to align on gameplay mechanics and troubleshoot issues that arise during implementation. Successfully navigating these challenges requires flexibility, problem-solving skills, and a collaborative mindset.

What skills and qualifications are needed to thrive as a game AI developer?

To thrive as a Game AI Developer, you need strong programming skills (especially in C++ or Python), a background in computer science or related fields, and a solid understanding of algorithms and data structures. Familiarity with game engines like Unity or Unreal Engine, as well as experience with AI frameworks and pathfinding systems, is crucial. Creativity, problem-solving ability, and effective teamwork are valuable soft skills for designing engaging and believable AI behaviors. These skills ensure the creation of compelling, immersive gameplay experiences that challenge and entertain players.

What is game AI?

Game AI, or Game Artificial Intelligence, refers to the techniques and systems used to create responsive, adaptive, and intelligent behaviors in non-player characters (NPCs) within video games. It involves programming NPCs to make decisions, follow strategies, and interact with players in realistic ways. Game AI can include pathfinding, enemy tactics, environmental awareness, and even dialogue systems, all aimed at enhancing the player's experience. Developers use various algorithms, including finite state machines and machine learning, to implement these behaviors.
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Game Ai jobs near you
Infographic showing various Game Ai job openings in the United States as of August 2026, with employment types broken down into 59% Full Time, 33% Part Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $43,561 per year, or $20.9 per hour.

AI Developer

American technologies consulting

West Des Moines, IA • On-site

Contractor

Re-posted 12 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).