Senior AI Engineer

Highlights

• Design and ship end-to-end AI solutions for complex APAC enterprise problems.
• Build agentic AI systems that automate complex, multi-step enterprise workflows.
• Collaborate with Kaggle Grandmasters and domain experts to deliver production AI.

What they offer

• Market-leading total rewards
• Remote-friendly culture with flexible working environment
• Career growth as part of a world-class team

Ideal candidate

Hands-on AI builder who thrives in customer-facing work and moves fast through ambiguity to ship production AI that delivers measurable business outcomes.

Requirements

• 3+ years hands-on AI/ML engineering with end-to-end model development and production deployment
• Experience building LLM-powered applications such as RAG pipelines, agentic workflows, or fine-tuned models
• Strong Python engineering skills with ML frameworks and LLM tooling
• Experience deploying models and AI services in cloud or enterprise environments including AWS, Azure, GCP and on-prem Kubernetes
• Deep understanding of modern GenAI concepts including prompt engineering, RAG, fine-tuning and RLHF
• Experience with containerization (Docker/Kubernetes) and CI/CD pipelines for AI applications
• Strong problem-solving instincts and comfortable with ambiguity while maintaining engineering quality
• Clear communicator able to explain complex AI systems to non-technical stakeholders