RL AI Infrastructure Engineer - Production-Ready & Scalable

Pokee AI Inc; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A cutting-edge AI technology firm in Singapore is seeking an AI Infrastructure Engineer to design and optimize infrastructure for RL-trained AI agents. The role involves building scalable training and inference systems, developing CI/CD pipelines, and collaborating on new algorithms with research scientists. Ideal candidates will have 3+ years of experience in ML infrastructure, strong proficiency in Python, and familiarity with frameworks like vLLM and TensorRT. Join this elite team and shape the future of enterprise AI.

Qualifications

• 3+ years of experience in ML infrastructure or related systems role.
• Strong proficiency in Python and systems-level languages like Rust, C++, or Go.
• Hands-on experience with ML serving frameworks.

Responsibilities

• Design, build, and maintain scalable ML infrastructure.
• Optimize model serving for latency and throughput.
• Develop and manage CI/CD pipelines and experiment tracking.

Skills

Python

Rust

C++

Go

Kubernetes

Docker

GPU computing

distributed systems

Tools

vLLM

TensorRT

Triton

ONNX Runtime

MLflow

Weights & Biases

Airflow

Job description

A cutting-edge AI technology firm in Singapore is seeking an AI Infrastructure Engineer to design and optimize infrastructure for RL-trained AI agents. The role involves building scalable training and inference systems, developing CI/CD pipelines, and collaborating on new algorithms with research scientists. Ideal candidates will have 3+ years of experience in ML infrastructure, strong proficiency in Python, and familiarity with frameworks like vLLM and TensorRT. Join this elite team and shape the future of enterprise AI.