Ai Engineer | Ai Infrastructure

Pearson Carter; Australia; Hybrid; AUD 100,000 - 140,000; Full time

Job summary

Pearson Carter are partnering with a global AI infrastructure company in the Asia Pacific region to recruit an AI Engineer. You will develop and optimise AI-driven platforms across a scalable infrastructure ecosystem, supporting GPU‑based AI cloud platforms and data pipelines.

This is a hands-on role at the intersection of AI, cloud infrastructure, and high-performance computing, offering collaboration with experienced engineers and exposure to next-generation AI systems at global scale.

Qualifications

• Strong AI / Machine Learning engineering experience.
• Experience deploying AI/ML models into production.
• 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.
• Strong problem-solving and analytical skills.
• 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

AI/ML engineering

Python development

APIs and data pipelines

Cloud & GPU computing

Collaboration

Problem solving

Job description

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.

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 tooling
• Understanding 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)

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