Added
6 hours ago
Type
Full time
Salary
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Related skills

python kubernetes distributed systems go llms
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πŸ“‹ Description

  • Architect and build the core AI Agent Platform (runtime, orchestration, APIs, state)
  • Design for scale: high-throughput multi-tenant serving, routing, caching, cost-aware execution
  • Build control plane and primitives for safe agent deployment and operation
  • Optimize latency, throughput, and cost across the agentic path
  • Architect agentic operations workflows for telemetry, anomaly reasoning, remediation
  • Design multi-agent loops with handoffs to humans and audit trails

🎯 Requirements

  • 10+ years building production software and large-scale distributed systems
  • Experience building scalable AI/agent platforms or high-throughput ML serving systems
  • Hands-on experience designing agentic/autonomous workflows
  • Strong AIOps and SRE background with observability tooling, SLOs, anomaly detection, incident management, and human-in-the-loop safeguards
  • Proficiency in Python and a systems language (Go/Java); cloud-native architecture (Kubernetes, event-driven microservices, streaming)
  • Hands-on experience applying LLMs to production workflows

🎁 Benefits

  • Hybrid work arrangement with onsite expectations 3x/week at San Mateo headquarters
  • Target bonus eligibility
  • Equity + ESPP, flexible PTO, commuter benefits, and wellness benefits
  • Adoption and parental leave benefits
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