AIPlatformEngineer

THE ROLE At Applied Compute, our applied researchers work directly with enterprises to design, deploy, and continuously improve AI agents that solve real operational problems. As an AI Platform Engineer, you'll build the infrastructure that makes this possible. You'll own the foundational systems that power Applied Compute's post-training and agent infrastructure: large-scale evaluation pipelines, model serving systems, training orchestration, secure execution environments, and the deployment platform that brings continuously improving AI systems into customer environments. Your work will enable researchers to rapidly build, evaluate, and deploy production AI systems while meeting the security, reliability, and compliance requirements of large enterprises. What you'll do - Build orchestration systems for post-training, evaluation, data generation, and continuous improvement workflows - Build large-scale evaluation infrastructure that measures model and agent performance across customer deployments and research workflows - Design and operate model serving systems that deliver low-latency, reliable inference for production AI applications - Architect the data infrastructure that powers training, evaluation, observability, and model improvement across customer environments - Develop secure execution environments for agents, evaluations, and training workloads using microVMs, containers, and modern sandboxing technologies - Design authentication, authorization, audit logging, and security controls that enable AI systems to operate safely within enterprise environments - Build deployment and provisioning systems that allow continuously improving models and agents to run inside customer VPCs and cloud environments - Improve reliability, scalability, observability, and operational efficiency across serving, evaluation, and training infrastructure - Partner closely with applied researchers to build the infrastructure that turns production data into better models, evaluation