Leads development of agent-based systems for large-scale AI infrastructure operations, including deployment, triage, and capacity management. Hands-on IC role managing small team, requiring strong distributed systems and AI/ML experience in complex environments.
293k – 490k
On-siteEngineering Management
About the role
Key Responsibilities
Design and build agent-based systems to support infrastructure deployment and operations
Identify high-impact opportunities to apply agents across workflows such as:
cluster bring-up and deployment readiness
incident triage and root cause analysis
system validation and health monitoring
capacity management and operational decision-making
Lead a small team while contributing directly as an IC across system design, development, and integration
Partner with infrastructure, hardware, and networking teams to integrate agentic systems into production workflows
Develop systems that leverage telemetry, logs, and system signals to enable closed-loop automation
Define evaluation frameworks to measure system effectiveness, reliability, and operational impact
Drive iteration from prototype to production, ensuring robustness and scalability
Qualifications
Strong software engineering background in distributed systems, infrastructure, or platform engineering
Experience building production automation systems or data-driven operational tooling
Experience applying AI, ML, or agent-based approaches to real-world systems or workflows
Ability to operate as a hands-on IC while leading a small team
Experience working cross-functionally with infrastructure, hardware, or systems teams
Strong problem-solving skills in complex, ambiguous environments
Preferred Skills
Experience with LLM-based systems, agents, or autonomous workflows
Background in infrastructure operations, SRE, or large-scale system deployment
Experience working on cluster bring-up, debugging, or data center infrastructure systems
Familiarity with telemetry, monitoring systems, and observability pipelines
Experience building internal tools or platforms for engineering productivity and operations
Skills
Distributed SystemsPlatform EngineeringAIMachine LearningLLMsAgentsSRETelemetryObservabilityAutomationKubernetesInfrastructure As CodePrometheusGrafanaPython
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