2027 US AI Engineering – New College Graduate (AI)

Location: Remote (any location); listed office locations are San Jose, California and Austin, Texas, US

Company

hirify.global AI is a full-stack AI cloud provider building infrastructure and software for AI training, inference, deployment, and enterprise AI applications.

What you will do

• Develop highly available AI cloud services, including GPU virtual machines, bare-metal and container services, networking, storage, billing, monitoring, security, and multi-region resource management.
• Build managed Kubernetes capabilities for GPU orchestration, intelligent scheduling, distributed workloads, cluster lifecycle management, observability, and resource isolation.
• Develop distributed training, fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, and production model-serving systems.
• Build enterprise AI Agent platforms with workflow orchestration, tool integration, retrieval-augmented generation, memory, sandbox execution, multi-Agent collaboration, evaluation, and observability.
• Work on GPU scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps, LLMOps, AI marketplaces, and automated operations.
• Join Cloud Platform Engineering, AI Operations, MLOps and SRE, MaaS, AI Agent, security, or AI research work 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 cloud-native technologies such as Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, or distributed storage is highly preferred.
• Experience developing or operating cloud, Kubernetes, AI training, inference, or Agent platforms is highly preferred.
• Evidence of strong academic, engineering, open-source, publication, or programming competition achievements.
• Interest in AI infrastructure, cloud-native technologies, and globally distributed systems, with strong ownership and engineering discipline.

Culture & Benefits

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