aimlroles

AI Software Engineer

Razer Open · verified Oct 22, 2026
Singapore Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Razer. Singapore · full-time.

Pay not stated AI Software Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationSingapore
EmploymentFull-time
PostedApr 22, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and tune AI/ML models for production, using containers to improve speed, accuracy and cost
  • Deploy models through REST APIs, gRPC or edge systems, then monitor their performance and handle errors
  • Create secure, documented APIs and microservices that connect AI features with software applications
  • Develop real-time and batch AI pipelines, and maintain machine-learning CI/CD workflows across local and cloud platforms
  • Work with data scientists and infrastructure teams to turn research models into deployed services

What you bring

  • At least three years developing AI/ML software, including a track record of putting solutions into production
  • Strong programming ability in Python, Java or C++, plus practical use of TensorFlow, PyTorch or Scikit-learn
  • Experience deploying models through APIs or edge systems, and working with Docker, Kubernetes and DevOps practices
  • A bachelor's or master's degree in computer science, AI or a related discipline

Who this fits

This mid-level role suits an AI engineer who can move models into production and work across software, data science and infrastructure teams. The position is based in the Singapore office and may involve up to one trip per year.

From the employer

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.

Are you game?