AI Engineering Graduate Talent Trainee

About the role

Bitdeer AI, a full-stack AI cloud provider (AI Data Center, IaaS, PaaS, MaaS) and preferred NVIDIA Cloud Partner, is recruiting fresh graduates to join its AI Engineering Graduate Talent Trainee programme. Successful candidates start in one of several AI engineering tracks after an interview assessment, with rotation opportunities across roles.

Key responsibilities

• Develop large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, containers, networking, storage, billing, monitoring, security and multi-region resource management.
• Build managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability and resource isolation.
• Develop distributed training, model fine-tuning, deployment, inference acceleration, serverless inference, model APIs, evaluation and production-grade LLM and multimodal model serving.
• Build enterprise AI Agent platforms covering agent building, workflow orchestration, tool integration, RAG, memory systems, sandbox execution, multi-agent collaboration, evaluation, observability, security and large-scale agent runtime.
• Develop advanced AI systems such as GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces and automated operations systems.

Required profile

• Fresh graduates (Bachelor, Master, PhD) from all disciplines, or candidates with up to 2 years of related work experience.
• Strong programming ability in one or more languages, including Go, Python, C++, Java or Rust.
• Proven achievements in academics, engineering projects, top-tier publications, open-source contributions or programming/algorithm competitions.
• Deep enthusiasm for AI infrastructure, cloud-native technologies and large-scale globally distributed systems.
• A strong ownership mentality, engineering discipline and commitment to making an early impact.

Required skills

• Highly preferred: Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, distributed storage and other cloud-native technologies.
• Highly preferred: experience developing or operating large-scale cloud, Kubernetes, AI training, inference or Agent platforms.

What we offer

• An inclusive, open-workspace environment with a fast-growing company and start-up spirit.
• Opportunities to network with industry pioneers and to contribute directly to the future of the digital asset industry.
• Personal accountability, autonomy, fast growth and learning opportunities.
• Welfare benefits and developmental opportunities such as training and mentoring.