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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end production monitoring for one or more AI agents, tracking metrics like accuracy, latency, SLA breaches, and guardrail triggers via observability dashboards.
Serve as L1/L2 production support for AI agentic services, including monitoring, triage, and escalation of issues to technical teams.
Diagnose issues such as intent classification errors, tool or parameter failures, hallucinations; validate agent reasoning, context freshness, and learning loop drift; embed governance in production changes.
Minimum Requirements
Experience monitoring or operating production AI/ML or agentic systems with observability, evaluation, and drift detection.
Strong analytical skills for diagnosing root causes across various AI agent failure types.
Understanding of AI/LLM observability concepts including tracing, telemetry, guardrails, evaluation engineering with benchmarks and automated/human review.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrates ability to independently manage post-launch health and reliability of AI agents while collaborating with AI Product and Engineering teams.
Experienced in translating complex production signals into clear, prioritized technical and product feedback.
Comfortable operating in a fast-evolving environment focusing on continuous improvement of both process and output in AI operations.