AI Software Engineer

Razer is hiring an AI Software Engineer in Singapore, Singapore. Level rates it ; you can apply on Razer.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
The posting mentions Vertex AI, PyTorch and TensorFlow among its tools and skills.
Level classes it as a mid-level role.
Razer has 148 other open roles on Level.

AI in this role

vertex-aipytorchtensorflowscikit-learnsagemaker

ml-ops

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?

How we rate this

AI Software Engineer at Razer rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Software Engineer is an open job at Razer.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore.
The job was posted on April 22, 2025.
Seniority: mid.
Applications are handled by Razer. Apply on Razer

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsVertex AIPyTorchTensorFlowscikit-learnSageMaker

Also common in software engineer jobs at this level

LLM AI agents Generative AI TypeScript RAG Rust

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used Vertex AI in your day-to-day work.
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used TensorFlow hands-on?
Walk me through how you've used scikit-learn in your day-to-day work.

Adapt your resume

List these exact terms on your resume: ML Ops, Vertex AI, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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