AI Infrastructure Engineer

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At YTL AI Labs, we build sovereign AI models that perform on par with the world’s best—while staying grounded in local needs, values, and context. Our flagship model, Ilmu, is designed to be culturally aware, contextually intelligent, and fluent in Bahasa Melayu, delivering cutting-edge solutions that empower Malaysian businesses with intelligence that truly understands the market and the people they serve.

As pioneers of sovereign AI, we believe every nation should have the power to shape its own intelligence—guided by its people, priorities, and principles.

About the Role

As an AI Infrastructure Engineer , you’ll build and maintain the systems that power our AI applications and model training. Your work will ensure our teams can run AI workloads reliably, securely, and at scale — across both cloud and on-prem environments.

This role combines DevOps, ML systems, and infrastructure engineering to support everything from LLMs to training pipelines.

What you’ll do

• Build and maintain infrastructure for model hosting, prompt execution, and training workflows
• Operate and optimize model-serving systems like vLLM, Triton, or OpenAI proxies
• Implement secure API gateways and manage token usage, routing, and fallback
• Develop and support training pipelines, GPU scheduling, and experiment tracking
• Maintain CI / CD systems, observability tools, and infrastructure documentation

What We’re Looking For

Bonus points if you have

If you’re looking to do meaningful work with people who care about how we get there — we’d love to meet you. Apply now!

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