AI Engineering – New College Graduate 2027 (AI)

Location: Remote (any location); San Jose, CA / Austin, TX listed as locations.

Company

hirify.global AI is a full-stack AI cloud provider delivering AI data center, IaaS, PaaS, and MaaS capabilities as part of hirify.global Technologies Group.

What you will do

• Develop large-scale AI cloud services covering GPU virtual machines, bare-metal and container services, networking, storage, billing, monitoring, security, and multi-region resource management.
• Build managed Kubernetes services with GPU-native orchestration, intelligent scheduling, workload management, cluster lifecycle management, observability, and resource isolation.
• Develop distributed training, fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, evaluation, and production model-serving capabilities.
• Build enterprise AI Agent platforms with workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, and security.
• Work on GPU scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operations systems.
• Join a specialization based on interview assessment and business needs, with opportunities to rotate across roles.

Requirements

• Fresh graduate with a Bachelor’s, Master’s, or PhD, or up to 2 years of related work experience.
• Strong programming ability in one or more of 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, Kubernetes, AI training, inference, or Agent platforms is highly preferred.
• Strong interest in AI infrastructure, cloud-native technologies, and globally distributed systems.
• Evidence of academic, engineering, research, open-source, or programming competition achievements, together with ownership and engineering discipline.

Culture & Benefits

• Authentic, inclusive, and respectful environment that values diverse perspectives.
• Open workspaces and an energetic start-up spirit within a fast-growing company.
• Opportunities to work on new projects and contribute directly to AI computing and digital asset infrastructure.
• Autonomy, personal accountability, rapid growth, and learning opportunities.
• Training, mentoring, and opportunities to network with industry pioneers.