New opportunity

Game AI Developer

Razer (Asia-Pacific) Pte. Ltd · Singapore

About this role

Razer seeks a Game AI Developer in Singapore to develop modular game subsystems and AI tools that help developers, designers and animators create immersive, intelligent gaming experiences. The role works with game developers and data scientists to drive AI adoption across the game development workflow.

Responsibilities

Develop AI solutions that streamline game development and integrate in-house models with Unity and Unreal Engine.
Design AI-powered analytics tools to examine player behavior and optimize engagement.
Work with internal Applied AI and Foundational AI teams, AI engineers, data scientists and tool developers. Collaborate with game studios, animators and gameplay engineers to align tools with production needs.

Qualifications

5+ years of experience in game development or interactive applications, plus a bachelor’s or master’s degree in Computer Science, Game Development, AI or a related field from an accredited institution.
Proficiency in Python, C++ and C#; experience with Unity and Unreal Engine, AI workflows and agentic workflows, and integrating AI models in the cloud or locally. Knowledge of AI in game development is required.
Ability to drive AI-tool adoption in game studios, deliver tools or projects across teams, manage complex projects and translate business problems into actionable insights. Strong communication, analytical and problem-solving skills and the ability to work in a fast-paced, high-pressure agile environment are required.

This is a full-time position in Singapore.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

PythonC++C#UnityUnreal EngineAI model integrationAI workflowsAgentic workflowsGame developmentData analyticsAgile developmentCross-functional collaborationProject managementProblem-solving

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Build modular AI game-development tools
The role develops modular game subsystems and AI solutions that streamline work for developers, designers and animators. Prepare to explain how you would design a reusable tool around a production workflow.
Integrate in-house models with game engines
Seamless integration with Unity and Unreal Engine is an explicit duty; the posting also calls for experience integrating models locally or in the cloud. Prepare to discuss engine-facing interfaces, testing and deployment choices.
Turn player behavior into useful analytics
The role designs AI-powered tools to analyze player behavior and optimize engagement. Prepare to describe how analysis would lead to actionable insights without assuming a particular metric or dataset.
Deliver tools that studios adopt
The posting emphasizes adoption across the game-development workflow, alignment with studio production needs and delivery across teams. Prepare an example of coordinating technical and creative stakeholders through a complex tool rollout.

Likely challenges to think through

Reusable systems versus studio-specific needs
A likely trade-off is keeping subsystems modular while accommodating different developer, designer and animator workflows. Prepare to explain how you would gather production needs, define stable interfaces and decide what should remain configurable.
Model integration versus engine performance
Integrating in-house models into Unity and Unreal may require balancing model capability against responsiveness and implementation complexity, especially when choosing local or cloud integration. Prepare to explain how you would compare options and validate the result in-engine.
Analytics insight versus engagement claims
Player-behavior patterns may not, by themselves, establish what improves engagement. Prepare to distinguish observation from a proposed change and explain how you would evaluate whether that change helped.

Practice your answers

Technical practice

How would you design a modular game subsystem that other teams can use?

What to coverThe posting calls for modular subsystems for game developers, designers and animators. Suggested preparation: explain how you would define interfaces, keep components replaceable and test whether the subsystem fits each group's production work.

How would you integrate an in-house AI model with Unity and Unreal Engine?

What to coverThe role explicitly calls for seamless integration with both engines. Suggested preparation: discuss engine-facing interfaces, how data would pass to and from a model, and how you would check performance and usability in each engine.

When would you run an AI model locally rather than in the cloud?

What to coverThe posting asks for experience integrating models in either location. Suggested preparation: compare latency, connectivity, deployment effort and operating cost against the needs of a game-development tool.

How would you divide an AI-tool implementation across Python, C++ and C#?

What to coverThe posting names all three languages but does not prescribe an architecture. Suggested preparation: explain where each might be appropriate based on engine integration, performance and development speed, while distinguishing your proposal from a stated requirement.

How would you structure an agentic workflow for a game-development task?

What to coverThe qualifications explicitly mention AI workflows and agentic workflows. Suggested preparation: describe the task boundaries, tool or model interactions, human review points and ways to detect an incorrect result without assuming a particular agent framework.

How would you determine whether an AI tool actually streamlines game development?

What to coverDeveloping AI solutions that streamline the development process is a stated duty. Suggested preparation: identify the workflow being improved, compare it with the existing approach and consider both time saved and the quality of outputs.

How would you design an AI-powered tool to analyze player behavior?

What to coverThe posting calls for analytics tools that examine player behavior and help optimize engagement. Suggested preparation: explain how you would turn a defined engagement question into useful analysis, validate the findings and avoid treating correlation alone as proof of improvement.

How would you troubleshoot an AI integration that works in one engine but not the other?

What to coverThe role requires integration with Unity and Unreal Engine, making cross-engine diagnosis a relevant practice scenario rather than a reported problem. Suggested preparation: describe how you would isolate differences in inputs, outputs, engine interfaces and runtime behavior before changing the model or integration.

How would you evaluate whether an AI tool fits a studio's production needs?

What to coverThe posting calls for aligning tools with the needs of studios, animators and gameplay engineers. Suggested preparation: explain how you would gather their workflow constraints, test a usable version with them and weigh technical capability against production disruption.

Behavioural practice

Tell me about a time you helped a team adopt a new development tool.

What to coverDriving adoption of AI tools in a game studio is part of the posted role. Suggested preparation: use a real situation, your actions to address users' concerns and the observed result; do not present adoption as automatic.

Describe a cross-functional project where teams had different priorities.

What to coverThe role involves studios, animators, gameplay engineers, AI engineers and data scientists. Suggested preparation: give the situation, how you reconciled competing needs and the result for the delivered work.

Tell me about a complex project you managed through changing constraints.

What to coverThe qualifications call for managing complex projects. Suggested preparation: set out the situation, your prioritization and coordination actions, and the result, including any trade-off you had to communicate.

Describe a time you solved a difficult problem under agile delivery pressure.

What to coverThe posting mentions problem-solving in a fast-paced, high-pressure agile environment. Suggested preparation: explain the situation, how you investigated and adapted your actions, and what the result showed.

Tell me about a time you turned an ambiguous business problem into an actionable insight.

What to coverThe role explicitly calls for translating complex business problems into actionable insights. Suggested preparation: state the original question, the analysis and communication you undertook, and the decision or next step that resulted.

Sharpen your knowledge

Topics to prepare

Modular game subsystem design
Posting: The role develops modular subsystems for developers, designers and animators. Suggested exercise: Diagram a subsystem’s interfaces, configuration and failure handling, then explain how each user group would interact with it.
AI model integration in game engines
Posting: Unity and Unreal Engine must integrate with in-house models, whether models run locally or in the cloud. Suggested exercise: Compare local and cloud integration designs, including response time, unavailable models and how engine code receives results.
AI and agentic workflows
Posting: Technical proficiency with AI workflows and agentic workflows is required to streamline game development. Suggested exercise: Map a proposed tool workflow from a designer’s request through model use, review and output; identify where human control belongs. The workflow is a preparation example, not a specified Razer process.
Player-behavior analytics
Posting: The role designs AI-powered tools to analyze player behavior and optimize engagement. Suggested exercise: Define a player-behavior question, the observations needed to investigate it and how you would avoid mistaking correlation for an improvement in engagement.
Studio adoption and cross-team delivery
Posting: The role calls for AI-tool adoption, complex-project management and collaboration with studios, gameplay engineers and AI teams. Suggested exercise: Outline how you would turn a studio production problem into a scoped tool proposal, with feedback points and a way to assess usefulness.

Skills to revise

Implement a modular subsystem interface
Posting: Development and implementation of modular game subsystems are central responsibilities. Suggested exercise: Build a small configurable subsystem with a clear interface and a replaceable AI-result provider; demonstrate how a caller handles a missing result.
Connect Unity code to a model result
Posting: Unity integration and C# proficiency are specified. Suggested exercise: In a small Unity scene, write C# code that passes a request to a mock model interface and uses its response; the mock is practice, not a stated Razer tool.
Connect Unreal Engine code to a model result
Posting: Unreal Engine integration and C++ proficiency are specified. Suggested exercise: In a minimal Unreal project, write C++ code that consumes a mock model response and handles an invalid response without disrupting gameplay.
Prototype a Python model workflow
Posting: Python proficiency, AI workflows and local or cloud model integration are specified. Suggested exercise: Write a Python adapter with the same input and output contract for simulated local and remote model calls; test error and timeout cases.
Analyze sample player behavior
Posting: The role designs analytics tools for player behavior and engagement. Suggested exercise: Use a small, invented event dataset to calculate an engagement measure, check for misleading segments and explain one actionable finding. The dataset and measure are practice choices, not prescribed requirements.
Translate production feedback into a tool plan
Posting: The role requires cross-functional delivery, communication and translation of complex problems into actionable insights. Suggested exercise: Draft a one-page tool brief from hypothetical feedback by an animator and a gameplay engineer, specifying the problem, proposed scope and questions for the AI team. This is a suggested rehearsal, not a stated company process.

Your preparation checklist

Map your evidence to the qualifications
The posting asks for 5+ years in game development or interactive applications, a relevant bachelor’s or master’s degree, Python, C++, C#, Unity and Unreal Engine. Prepare a brief evidence sheet with specific examples for each; mark any gaps rather than inventing experience.
Prepare a game-tool project walkthrough
Select a project you can discuss that is closest to the role’s modular game subsystems or AI tools. Outline the users, your contribution, technical design, production constraints and measured outcome; distinguish your work from the team’s.
Sketch an engine-to-model integration
As a practice design exercise, diagram how a modular tool could connect Unity or Unreal Engine to an in-house AI model running locally or in the cloud. Be ready to explain the interface, performance trade-offs, testing and failure handling; this is preparation, not a stated assignment.
Explain an AI or agentic workflow
The posting calls for AI and agentic workflows that streamline game development. Prepare one concrete workflow example or proposed design, showing its inputs, human review points, outputs and how you would check whether it helps developers, designers or animators.
Practice a player-analytics case
The role includes AI-powered analysis of player behavior to optimize engagement. Prepare a hypothetical analysis plan: the question to answer, data you would need, useful measures, possible limitations and how findings could become an actionable recommendation.
Document a cross-team delivery example
The posting emphasizes delivering tools with game studios, managing complex projects and driving adoption. Prepare a concise account of stakeholder needs, trade-offs, coordination in an agile setting, rollout and results from a project you can substantiate.
Draft questions about production needs
Ask how studios, animators and gameplay engineers identify tool requirements; how the Applied AI and Foundational AI teams support integration; and what would show that an AI tool is useful in production. These are questions to clarify, not established company processes.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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