AI Engineer – New College Graduate

Bitdeer Group

. Develop large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and multi-region resource management .

Posted 10/10/2026full-timeRemote • United StatesEntry Level💰 $70,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming ability in languages such as Go, Python, C++, Java, or Rust, with a focus on developing large-scale AI cloud services and Kubernetes platforms. Possesses a deep enthusiasm for AI infrastructure and cloud-native technologies, along with a commitment to impactful engineering practices.

Highest-signal resume keywords

Programming Ability in Go, Python, C++, Java, RustKubernetes ExperienceCloud-Native TechnologiesLarge-Scale Cloud Platforms DevelopmentAI Infrastructure Enthusiasm

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming AbilityDistributed Systems DevelopmentModel DeploymentInference AccelerationGPU Resource SchedulingCloud NetworkingMulti-Region Resource ManagementMLOpsLLMOpsWorkflow Orchestration

Soft Skills

Strong Ownership MentalityEngineering DisciplineCommitment to Impact

Tools & Technologies

KubernetesDockerHelmTerraformOpenStackPrometheusGrafanaArgoIstioPostgreSQL

Industry Keywords

AI Cloud ServicesGPU Virtual MachinesContainer ServicesDistributed Workload ManagementModel Fine-TuningAgent PlatformsCloud-Native InfrastructureAI Application MarketplacesAutomated Operation SystemsMulti-Agent Collaboration

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerGrafanaJavaKubernetesOpenStackPostgresPrometheusPythonRedisRustTerraformC++Go

About the role

Key responsibilities & impact

Develop large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and multi-region resource management
Develop managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Develop distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model-serving capabilities
Develop enterprise AI Agent platforms, including Agent building, workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and large-scale Agent runtime infrastructure
Develop GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operation systems for large-scale AI infrastructure
Start in one of the listed technical areas based on interview assessment and business needs
Rotate across different roles as part of career development

Requirements

What you’ll need

Fresh graduates (Bachelors, Masters, PhD) from all disciplines and/or candidates with up to 2 years of related work experience
Strong programming ability in one or more languages, including Go, Python, C++, Java, Rust, or related technologies
Experience with Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, distributed storage, or other cloud-native technologies is highly preferred
Experience developing or operating large-scale cloud platforms, Kubernetes platforms, AI training platforms, inference platforms, or Agent platforms is highly preferred
Deep enthusiasm for cutting-edge AI infrastructure, cloud-native technologies, and building large-scale, globally distributed systems
Proven achievements in academics, engineering projects, top-tier publications, open-source contributions, or programming/algorithm competitions
Strong ownership mentality and engineering discipline
Commitment to creating meaningful impact early in your career

Benefits

Comp & perks

Opportunities to rotate across different roles as part of career development
Culture that values authenticity and diverse perspectives
Inclusive, respectful environment with open workspaces and an energetic, start-up spirit
Opportunities to network with industry pioneers and enthusiasts
Ability to contribute directly and make an impact on the future of the digital asset and AI computing industry
Involvement in new projects and developing processes/systems
Personal accountability, autonomy, rapid growth, and learning opportunities
Training and mentoring
Equal employment opportunities