Staff AI Engineer
Core
Design, build, and operate production AI agent systems, focusing on reliability, security, and cost-efficiency for testing real customer applications.
Role type
Staff AI Engineer (Agent Systems)
Builds
Production-grade AI agent platforms, evaluation frameworks, observability tools, and shared engineering standards.
Domain
AI Agents, LLM Operations, Distributed Systems, Cybersecurity
Deliverable
production ML models
Required skills
Technical leadership, LLM-based agent architecture, agent orchestration, tool use, context and memory management, backend and distributed systems, production observability, security risk assessment, cost optimization, incident investigation.
Preferred skills
GCP, Go, Kubernetes, sandboxed environment execution, offensive security, AI coding tools integration.
Technologies
Model Context Protocol (MCP), managed cloud model platforms, distributed tracing, CI/CD pipelines.
Responsibilities
Set technical direction for agent systems, design shared foundations (evaluation, observability), establish engineering standards, lead model selection and cost optimization, partner on production readiness, mentor engineers, work with security teams on safe execution.
Seniority
Staff, hands-on IC with strategic scope
