Senior Applied AI Engineer — Global GenAI & Systems Lead

Razer; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Razer is seeking a Senior Applied AI Engineer to lead the design, evaluation, and delivery of AI solutions for AI-powered gaming and platform use cases in Singapore. You will work at the intersection of applied ML, systems engineering, and product decisions, owning end-to-end AI workflows from experimentation to deployment.

You will collaborate with software engineers, PMs, Data Scientists and Data Engineers to deliver production-ready AI systems, build GenAI pipelines, and mentor junior

Qualifications

• 3+ years of experience in Applied AI, ML Engineering, or AI Systems Engineering.

Responsibilities

• Own the design and execution of evaluation and benchmarking frameworks across AI/ML systems (text, vision, generative AI).
• Architect and develop scalable, observable AI services and reusable platforms to support multiple product teams.
• Design and build GenAI-driven systems, including RAG pipelines and agentic workflows.
• Drive best practices in experimentation, versioning, reproducibility, and service reliability across applied AI systems.
• Partner with product managers to evaluate AI-driven features, define success criteria, and assess feasibility.
• Lead technical exploration and market scanning of emerging AI, GenAI, and agentic tools with data-backed recommendations.
• Collaborate with software and data engineering teams to integrate AI systems into broader product architectures.
• Mentor junior engineers and interns, and communicate complex technical concepts clearly to stakeholders.

Skills

Applied AI experience

Python programming

API design

Strong communication

Tools

FastAPI

NodeJS

Docker

Kubernetes

AWS

GCP

Azure

Job description

Razer is seeking a Senior Applied AI Engineer to lead the design, evaluation, and delivery of AI solutions for AI-powered gaming and platform use cases in Singapore. You will work at the intersection of applied ML, systems engineering, and product decisions, owning end-to-end AI workflows from experimentation to deployment.

You will collaborate with software engineers, PMs, Data Scientists and Data Engineers to deliver production-ready AI systems, build GenAI pipelines, and mentor junior