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Overview
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Responsibilities
Lead fast-turnaround efforts to build and refine prototypes integrating AI into client applications—prioritizing speed, creativity, while preparing for scale in future. Collaborate with AI/ML teams to implement and iterate on LLM-driven features, generative tools, intelligent UI components, and conversational interfaces. Instrument prototypes for usage tracking, user feedback, and performance signals to determine product viability. Design lightweight, modular architectures that allow for quick pivots and reuse of components across experiments. Work alongside designers, product managers, and AI teams, data scientists, data engineers to scope MVPs, define success criteria, and ship often. Collaborate with AI Data Engineering, AI Primitives, Gamer AI, Game Development AI, or Product teams to transition validated prototypes into production-grade solutions via review where needed. Guide junior engineers and establish best practices, with proper CI/CD workflow that encourage innovation without compromising core engineering quality, on both local machines and cloud platforms. Translate complex AI capabilities into business-relevant summaries for decision-makers. Stay up to date with the latest AI/ML products, tools, and industry trends to continuously improve AI offerings. Qualifications
8+ years of experience in software engineering, including building client-facing web applications. Demonstrated experience with rapid prototyping methodologies or innovation sprints. Comfortable working with ambiguity, balancing speed and quality, and iterating based on imperfect information. Experience setting up lightweight instrumentation for user testing and prototype validation. Excellent problem-solving skills and technical intuition to balance pragmatism with architectural foresight. Deep hands-on experience with full-stack development (React/Next.js, Node.js, Python, etc.). Strong familiarity with AI tools and APIs (e.g., OpenAI, HuggingFace, LangChain, LangGraph) and quick integration of LLM-based services. Experience in using game engines such as Unity, Unreal Engine. In-depth understanding of containerization (Docker, Kubernetes) and DevOps practices. Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform). Experience with database management (SQL, NoSQL, and vector databases). Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment. Excellent written and verbal communication skills for coordinating across teams. Education & Experience
Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution. Travel Requirements
Role based in Singapore office and may require up to 1 travel trip per year.
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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Responsibilities
Lead fast-turnaround efforts to build and refine prototypes integrating AI into client applications—prioritizing speed, creativity, while preparing for scale in future. Collaborate with AI/ML teams to implement and iterate on LLM-driven features, generative tools, intelligent UI components, and conversational interfaces. Instrument prototypes for usage tracking, user feedback, and performance signals to determine product viability. Design lightweight, modular architectures that allow for quick pivots and reuse of components across experiments. Work alongside designers, product managers, and AI teams, data scientists, data engineers to scope MVPs, define success criteria, and ship often. Collaborate with AI Data Engineering, AI Primitives, Gamer AI, Game Development AI, or Product teams to transition validated prototypes into production-grade solutions via review where needed. Guide junior engineers and establish best practices, with proper CI/CD workflow that encourage innovation without compromising core engineering quality, on both local machines and cloud platforms. Translate complex AI capabilities into business-relevant summaries for decision-makers. Stay up to date with the latest AI/ML products, tools, and industry trends to continuously improve AI offerings. Qualifications
8+ years of experience in software engineering, including building client-facing web applications. Demonstrated experience with rapid prototyping methodologies or innovation sprints. Comfortable working with ambiguity, balancing speed and quality, and iterating based on imperfect information. Experience setting up lightweight instrumentation for user testing and prototype validation. Excellent problem-solving skills and technical intuition to balance pragmatism with architectural foresight. Deep hands-on experience with full-stack development (React/Next.js, Node.js, Python, etc.). Strong familiarity with AI tools and APIs (e.g., OpenAI, HuggingFace, LangChain, LangGraph) and quick integration of LLM-based services. Experience in using game engines such as Unity, Unreal Engine. In-depth understanding of containerization (Docker, Kubernetes) and DevOps practices. Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform). Experience with database management (SQL, NoSQL, and vector databases). Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment. Excellent written and verbal communication skills for coordinating across teams. Education & Experience
Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution. Travel Requirements
Role based in Singapore office and may require up to 1 travel trip per year.
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