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    Job · 18349443

    Srinav logo

    AI Agent Operations Engineer

    Srinav · Pune · onsite · Posted 33d ago

    Undisclosed6–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role


    AI Agent Operations Engineer

    Location: Pune, Maharashtra

    Work Mode: Work From Office (WFO)

    Position Summary

    We are looking for an experienced AI Agent Operations Engineer to manage production operations, incident response, monitoring, and observability for AI/agent-based systems.

    The role will act as an Incident Commander, lead proactive production monitoring, coordinate rollback decisions during degraded releases, and drive post-incident reviews and corrective actions.

    Key Responsibilities

    • Serve as Incident Commander for production incidents, managing incident bridges, escalations, communication, and resolution.
    • Conduct proactive trend reviews to identify system degradation before alerts are triggered.
    • Coordinate rollback decisions for degraded releases and invoke fallback procedures when required.
    • Tune monitoring safeguards, alert thresholds, and improve alert precision.
    • Analyze logs, traces, and production telemetry to identify issues and performance degradation.
    • Lead Post-Incident Reviews (PIR) and track corrective actions.
    • Maintain and continuously improve operational runbooks.
    • Ensure effective shift handovers and operational standards.
    • Mentor team members when required.
    • Support production operations for AI/ML and AI-agent-based systems.

    Required Skills & Experience

    • 6+ years of experience in Production Operations.
    • Experience working in customer-facing production environments.
    • Strong experience in Monitoring & Observability.
    • Hands-on experience with Log and Trace Analysis.
    • Strong understanding of Incident Management, SLOs and Runbook Operations.
    • Experience with Scripting / Automation for Operations.
    • Exposure to AI/ML Operations (MLOps).
    • Understanding of AI Agent failure modes, routing and operational challenges.
    • Exposure to LLM / AI Agent tooling is preferred.
    • Strong analytical and problem-solving skills.
    • Excellent communication skills with the ability to explain technical risks to non-technical stakeholders.

    Education

    Bachelors or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.


    if you are interested please share your updated resume on [email removed]

    Sourced from naukri

    Skills

    productionoperationsAi SolutionsAgentic AiArtificial Intelligence

    AI Agent Operations Engineer · waiting for your command