Voice AI with Infrastructure & Integration Engineer

linear gradient

Hyderabad

Posted, 26June 2026

Mnc

The Company

Mnc

The Role

Observability, Logging & Monitoring
• Design and implement the full-stack observability pipeline using OpenTelemetry, Datadog, and ELK Stack — distributed traces, structured logs, and real-time metrics across every layer.
• Instrument the voice pipeline to emit per-turn telemetry: STT latency, LLM inference time, guardrail check duration, TTS first-chunk latency, and total round-trip time.
• Build alerting rules for latency SLA breaches, guardrail trigger rate spikes, STT/TTS error rates, and telephony drop rates.
• Create operational dashboards for real-time call volume, concurrent sessions, and per-vendor health.
Call Recording & Compliance
• Own the call recording pipeline: capture full-duplex audio and per-turn transcripts, store in S3 / Azure Blob with FDCPA-compliant retention.
• Integrate with the QA & audit portal (MaestroQA / EvaluAgent) for call playback, AI-assisted scoring, and compliance flag review.
• Ensure PCI-DSS compliance for stored audio: redact payment card segments before long-term storage.
• 5–8 years
• Candidates must have hands-on experience in developing Voice Bots or Voice AI-based products/solutions.
Any

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