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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 experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities
We are seeking a highly skilled Principal AI Software Engineer specializing in AI prototyping, to drive the rapid development of experimental features and AI-powered tools embedded in client-facing applications (such as websites and portals). You’ll lead small, agile efforts to test hypotheses, validate user value, and set the stage for scalable productization. This role is ideal for someone who thrives at the intersection of innovation and speed, loves shipping fast, failing fast (when necessary), and learning even faster.
Essential Duties And Responsibilities
Pre-Requisites :
Job Responsibilities
We are seeking a highly skilled Principal AI Software Engineer specializing in AI prototyping, to drive the rapid development of experimental features and AI-powered tools embedded in client-facing applications (such as websites and portals). You’ll lead small, agile efforts to test hypotheses, validate user value, and set the stage for scalable productization. This role is ideal for someone who thrives at the intersection of innovation and speed, loves shipping fast, failing fast (when necessary), and learning even faster.
Essential Duties And 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.
Pre-Requisites :
- 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.
- Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution
- Role based in Singapore office and may require up to 1 travel trip per year.
Key Skills
Ranked by relevance
ai
prototypes
cloud
prototyping
containerization
kubernetes
embedded
ai tools
python
docker
devops
nosql
unity
cicd
sql
aws
ui
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- Posted
- Oct 28, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- Razer Inc.
Industries
Computers
Electronics Manufacturing
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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