Senior AI Engineer (Applied)

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

Job summary

Razer in Singapore is seeking a Senior Applied AI Engineer to lead end-to-end AI workflows across gaming and platform use cases. You will collaborate with software engineers, data scientists, and product managers to design, deploy, and iterate production-ready AI solutions.

You will evaluate AI systems, build scalable services, and mentor junior engineers while delivering measurable performance improvements in latency and reliability. This role emphasizes pragmatic, impact-driven AI delivery.

Qualifications

• 3+ years of experience in Applied AI, ML, or AI Systems Engineering.
• Ability to work in fast paced, agile environment.
• Proactive and strong communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders
• Hands-on experience with NLP, computer vision, or generative AI systems in real-world applications
• Proven ability to design and deliver production-grade AI services under constraints such as latency, reliability, and cost
• Strong programming skills in Python and solid software engineering fundamentals (API design, modular codebases, testing)

Responsibilities

• Own the design and execution of evaluation and benchmarking frameworks across AI/ML systems (text, vision, generative AI), including metrics, thresholds, and failure analysis covering quality, latency, reliability, and cost
• Architect and develop scalable, observable AI services and reusable platforms (evaluation tools, benchmarking services, microservices) that support multiple product teams
• Design and build GenAI-driven systems, including RAG pipelines and agentic workflows, optimizing for real-world constraints such as performance, scalability, and operational reliability
• 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 and trade-offs
• Lead technical exploration and market scanning of emerging AI, GenAI, and agentic tools, providing data-backed recommendations on build vs partner vs hybrid approaches

Skills

Applied AI

Machine Learning

Python

NLP

Computer Vision

Generative AI

Communication skills

System design

Tools

FastAPI

NodeJS

Docker

Kubernetes

AWS

GCP

Azure

Job description

Job Responsibilities :

We are looking for a Senior Applied AI Engineer to lead the design, evaluation, and delivery of AI solutions across AI-powered gaming and platform use cases. In this role, you will operate at the intersection of applied machine learning, systems engineering, and product decision-making, owning end-to-end AI workflows, from experimentation and benchmarking through to system design, deployment, and iteration. You will work closely with software engineers, product managers, Data Scientist and Data Engineers to deliver scalable, reliable, production-ready AI systems.

Essential Duties and Responsibilities

• Own the design and execution of evaluation and benchmarking frameworks across AI/ML systems (text, vision, generative AI), including metrics, thresholds, and failure analysis covering quality, latency, reliability, and cost
• Architect and develop scalable, observable AI services and reusable platforms (evaluation tools, benchmarking services, microservices) that support multiple product teams
• Design and build GenAI-driven systems, including RAG pipelines and agentic workflows, optimizing for real-world constraints such as performance, scalability, and operational reliability
• 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 and trade-offs
• Lead technical exploration and market scanning of emerging AI, GenAI, and agentic tools, providing data-backed recommendations on build vs partner vs hybrid approaches
• Collaborate closely 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 both technical and non-technical stakeholders

Qualifications

• 3+ years of experience in Applied AI, Machine Learning Engineering, or AI Systems Engineering
• Ability to work in fast paced, high pressure, agile environment.
• Proactive and strong communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders
• Strong foundation in machine learning evaluation, experimentation, and statistical reasoning
• Hands-on experience with NLP, computer vision, or generative AI systems in real-world applications
• Proven ability to design and deliver production-grade AI services under constraints such as latency, reliability, and cost
• Strong programming skills in Python and solid software engineering fundamentals (API design, modular codebases, testing)
• Experience building backend services for AI systems (e.g. FastAPI, NodeJS, or similar)
• Experience deploying AI workloads on cloud platforms (AWS, GCP, or Azure)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Education & Experience Familiarity with containerization and orchestration tools (Docker, Kubernetes)

Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Pre-Requisites

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and concentrate at their best.

Are you game? At Razer, you'll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission "For Gamers. By Gamers.", we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we're relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won't just witness this evolution; you'll help drive it.

Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed - including for disability or religious practices - so every team member can perform and contribute at their best.