AI Engineer | AI Infrastructure

Pearson Carter; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Job summary

Pearson Carter is partnering with a global AI infrastructure leader to hire an AI Engineer who will develop and optimise AI-driven platforms across a scalable infrastructure ecosystem. The role sits at the intersection of AI, cloud infrastructure and high-performance computing, offering hands-on work with production deployments and cutting-edge AI technology.

You will collaborate with experienced engineers to deliver solutions, contribute to R&D initiatives, and help shape sustainable AI compute

Qualifications

• Strong AI/ML engineering experience, including production deployments.
• Strong Python development skills.
• Experience with modern AI/ML frameworks and tooling; understanding of cloud and GPU-based computing environments.
• Experience working with APIs, data pipelines, and scalable systems.
• Excellent communication and collaboration skills.

Responsibilities

• Develop and optimise AI/ML applications and services
• Build and integrate AI models into production environments
• Work with large-scale GPU infrastructure and AI cloud platforms
• Develop data pipelines and supporting AI workflows
• Optimise model performance, scalability, and reliability
• Collaborate with software, infrastructure, and engineering teams
• Support R&D initiatives across emerging AI technologies

Skills

Python development

AI/ML engineering

APIs & data pipelines

problem-solving

communication & collaboration

Job description

AI Engineer AI Infrastructure

Pearson Carter are currently working with a global AI infrastructure company pioneering the development of highly efficient AI infrastructure across Asia Pacific. Their technology combines advanced GPU infrastructure, AI cloud platforms, energy management, liquid cooling, and software orchestration to deliver scalable and sustainable AI compute.

Due to continued growth, they are looking to hire an AI Engineer to help develop and optimise AI-driven platforms and applications across their rapidly expanding infrastructure ecosystem.

This is a hands-on role working at the intersection of artificial intelligence, cloud infrastructure, and high-performance computing, with the opportunity to contribute to next-generation AI systems operating at significant scale.

They offer the opportunity to work with cutting-edge AI technology, collaborate with highly experienced engineers, and have a direct impact on the development of sustainable AI infrastructure.

Get in touch if you’re looking for your next opportunity!

Applications are welcome from experienced AI Engineers with strong production AI/ML experience who want to work on cutting-edge infrastructure at global scale.

Responsibilities

• Develop and optimise AI/ML applications and services
• Build and integrate AI models into production environments
• Work with large-scale GPU infrastructure and AI cloud platforms
• Develop data pipelines and supporting AI workflows
• Optimise model performance, scalability, and reliability
• Collaborate with software, infrastructure, and engineering teams
• Support R&D initiatives across emerging AI technologies

Experience

• Strong AI / Machine Learning engineering experience
• Experience deploying AI/ML models into production
• Strong Python development skills
• Experience with modern AI/ML frameworks and toolingUnderstanding of cloud and GPU-based computing environments
• Experience working with APIs, data pipelines, and scalable systems
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Salary

They offer a competitive salary package aligned with experience and market rates.

Location

Australia or Singapore (with flexibility depending on experience and project requirements)