AI Agent Operations Engineer
Location: Pune(572)
Experience: 8–11 Years
Notice Period: Immediate–45 Days
Work Type: Client-facing production operations
Interview: 2 Technical Rounds + Client Round + HR
Preference: Local Pune candidates preferred

Role Overview

We are looking for an AI Agent Operations Engineer to lead production incident response, proactive monitoring, service reliability, and operational governance for AI-agent systems.

The role requires solid expertise in incident management, observability, SLOs, runbook operations, AI-agent failure analysis, and stakeholder communication.

Key Responsibilities

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Act as Incident Commander during production incidents; lead bridges, escalations, communication, and resolution.

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Conduct daily proactive trend reviews to identify degradation before alerts are triggered.

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Coordinate rollback decisions for degraded releases and activate fallback processes when required.

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Tune monitoring safeguards and alert thresholds to improve alert precision and reduce noise.

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Lead post-incident reviews, track corrective actions,



and maintain runbooks.

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Analyze logs, traces, and monitoring data to identify production issues and trends.

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Maintain shift-handover standards and mentor team members when required.

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Communicate technical risks, incidents, and solutions clearly to non-technical stakeholders.

? Must-Have Skills

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Bachelor's/Master's degree in Computer Science or related field

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relevant 6+ years in production operations

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Experience in customer-facing production environments

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Strong monitoring, observability, log & trace analysis

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Hands-on incident management, SLOs & runbook operations

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Understanding of AI-agent failure modes and routing

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Strong analytical and pragmatic approach

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Excellent communication & stakeholder management

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Minimum 2 years' stability per organization

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AI/ML Operations exposure

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Scripting/automation for operations

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LLM / AI-agent tooling

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Management-level presentati

📌 AI Agent Operations Engineer (Pune)
🏢 Umanist Staffing
📍 Pune