AI Software Engineer

Razer; Singapore; On-site; SGD 110,000 - 190,000; Full time

Job summary

Razer is seeking an AI Software Engineer to design, develop, and deploy AI-powered solutions from Singapore. You will build scalable AI systems, integrate ML models into applications, and optimize AI workflows for production while collaborating with data scientists, software engineers, and DevOps teams.

Responsibilities include deploying models via APIs or edge solutions, implementing monitoring and logging, and designing secure, well-documented microservices.

Qualifications

• 3+ years of experience in AI/ML software development.
• Proven track record of deploying AI solutions in production environments.
• Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions.
• Strong programming skills in Python, Java, or C++.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• 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) using Terraform and cloud AI services.
• Experience with database management (SQL, NoSQL, and vector databases).
• Knowledge of distributed computing (Spark, Dask) and parallel processing.
• Ability and willingness to learn new technologies in a fast paced, high pressure, agile environment.
• Excellent written and verbal communication skills for coordinating across teams.

Responsibilities

• Design, develop, and deploy AI-powered solutions.
• Build scalable AI systems and integrate ML models into applications.
• Collaborate with data scientists, software engineers, and DevOps teams.
• Deploy AI models via RESTful APIs, gRPC, or edge computing solutions.
• Implement monitoring, logging, and error-handling for AI performance.
• Design APIs and microservices for AI capabilities with security and performance in mind.
• Monitor model performance in production and ensure SLA-compliant APIs.
• Build scalable AI pipelines for real-time and batch processing.
• Implement MLOps practices including CI/CD for ML workflows.

Skills

Python

Java

C++

RESTful APIs

gRPC

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

AWS

Azure

Google Cloud

Terraform

SQL

NoSQL

Vector databases

Spark

Education

Bachelor’s or Master’s degree in computer science, AI or similar

Tools

Terraform

AWS SageMaker

Google Vertex AI

Azure ML

ONNX

TensorRT

Job description

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.

Job Responsibilities :

We are seeking a highly skilled AI Software Engineer to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production. You will collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting-edge AI capabilities to life.* Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness

• Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
• Implement monitoring, logging, and error-handling mechanisms to track AI performance.
• Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented
• Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements).
• Build scalable, high-performance AI pipelines for real-time and batch processing.
• Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms
• Work closely with data scientists to turn research models into deployable solutions.
• Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions.
• Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products.

Pre-Requisites :

• 3+ years of experience in AI/ML software development.
• Proven track record of deploying AI solutions in production environments.
• Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions.
• Strong programming skills in Python, Java, or C++.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• 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) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
• Experience with database management (SQL, NoSQL, and vector databases).
• Knowledge of distributed computing (Spark, Dask) and parallel processing.
• 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.