AI Software Engineer: Build Scalable AI Pipelines

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

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.