Technical practice
Troubleshooting AI Intent Failures
What to coverExplain your process for diagnosing why a chatbot or voice bot failed to trigger the correct intent. Discuss how you would use log analysis tools like Kibana or CloudWatch to trace the conversation flow and identify if the issue stems from training data, confidence thresholds, or integration errors.
AWS Infrastructure Diagnostics
What to coverDescribe how you would investigate a connectivity issue between a customer's environment and an AWS-hosted service. Focus on your methodology for verifying VPC configurations, security groups, and firewall rules to ensure traffic is correctly routed.
VoIP and Telephony Troubleshooting
What to coverWhen a customer reports dropped calls or poor audio quality in a voice bot system, what steps do you take to isolate the root cause? Mention your experience with network traffic analysis tools like Wireshark or Fiddler to identify latency, jitter, or packet loss.
Log Analysis for Performance Bottlenecks
What to coverHow do you approach analyzing large volumes of application logs to find the source of a system-wide failure? Suggestion: Focus on your ability to correlate timestamps across different services and your proficiency in filtering logs to isolate specific error codes.
Managing Network Configurations
What to coverExplain the role of DNS and VPNs in maintaining secure communication between an enterprise SaaS platform and a client's internal network. Discuss how you would guide a customer IT team through whitelisting requirements or troubleshooting a failed VPN tunnel.
AI Model Tuning and Optimization
What to coverWhat is your approach to improving the accuracy of a conversational AI model over time? Discuss the importance of intent tuning, analyzing user feedback, and refining conversational flows based on real-world interaction data.
Handling Complex Support Tickets
What to coverDescribe your workflow for managing multiple high-priority support tickets in Zendesk. Suggestion: Emphasize your process for prioritization, documentation, and ensuring clear communication with both the customer and internal engineering teams.
Explaining AI Concepts to Non-Technical Stakeholders
What to coverHow do you explain a technical AI limitation or a complex system configuration to a non-technical client? Focus on your ability to translate technical jargon into business impact while maintaining the customer's trust.
Behavioural practice
Managing High-Pressure Incidents
What to coverDescribe a time you had to handle a critical, service-impacting incident while under significant pressure. Use the STAR method to explain how you identified the issue, communicated with stakeholders, and resolved the problem.
Collaborating with Engineering Teams
What to coverProvide an example of when you identified a recurring product bug and had to escalate it to the engineering team. Detail how you documented the issue to ensure they had enough information to reproduce and fix the root cause.
Adapting to Remote Work and Timezone Shifts
What to coverThis role requires working a US Pacific Timezone shift from India. Describe your experience or strategies for maintaining high productivity, effective communication, and work-life balance while working non-standard hours.
Acting as a Subject Matter Expert
What to coverGive an example of a time you had to mentor or train team members on a complex technical topic. Explain how you created documentation or led a session to ensure the knowledge was successfully transferred to the rest of the team.