Jobs at aion

Design, build, and operate GPU-focused observability and monitoring systems across Kubernetes and bare-metal SLURM clusters. Develop custom exporters, controllers, systemd services, GitOps workflows, and alerting/SLO frameworks; ensure multi-tenant isolation, cost analytics, and automated workload migration to improve GPU utilization and reliability.

Lead and build the People function: design org structure, create scalable hiring/onboarding/performance processes, drive talent development and engagement, ensure multi-region compliance, mentor managers, and improve HR systems to support rapid startup growth.

Lead and execute aion's social media and thought leadership across LinkedIn, X, and other channels. Monitor AI and industry news, create posts, threads, and executive commentary, manage a content calendar, collaborate with design on visuals and video, promote events and speaking engagements, track performance metrics, and build rapid-response systems to capitalize on AI ecosystem developments.

Embed with enterprise customers to discover use cases and build production multimodal agent systems (voice, video, text). Architect RAG and MLOps pipelines, deploy and optimize LLM-powered agents, implement observability and evaluation, and integrate agents into customer systems while advising stakeholders and delivering fast POCs.

Embed with customers to discover use cases, design and build multimodal (voice, video, text) agent systems, implement RAG/vector DB pipelines, deploy and optimize LLMs and agents on aion's platform, instrument observability and evaluation, and advise customers from prototype to production.

Design, build, and own aion's inference platform components (gateway, orchestrator, runtimes, autoscaler). Drive model deployment, rollback, routing, and GPU utilization optimizations. Implement low-latency, high-throughput distributed systems with observability, monitoring, and engineering best practices.

Build and maintain backend platform services for multi-cloud compute and inference, implementing orchestration, resource scheduling, deployment pipelines, autoscaling, APIs, and event-driven systems. Design schemas and service APIs, work with messaging, storage, and databases, ensure quality via testing and observability, participate in design reviews, debug production issues, and document operational runbooks.