Senior Voice AI Platform Engineer

Platform: Convogent

Level: Mid–Senior (5+ years | 2+ years building voice AI in production)

Location: Bangalore Office

About the Role

You will own the distributed, real-time systems that orchestrate parallel voice calls at massive scale: the core platform behind every conversation Convogent runs. The job is keeping thousands of simultaneous calls fast, reliable, and natural, owning how STT/ASR, LLM, TTS, RAG, and tool-calling work together, and where every millisecond and every point of quality goes across the pipeline.

What you’ll do
- Own voice AI at scale. Keep the pipeline fast and reliable at enterprise concurrency, thousands of simultaneous calls, by lifting calls-per-vCPU through extending Pipecat or rewriting hot paths in Go.
- Own end-to-end latency. Keep the conversation under ~800ms by decomposing the budget across STT, LLM, TTS, RAG, tool-calling, turn-detection, and network hops.
- Diagnose the bad call. When a call does not feel right, locate the fault in the pipeline quick by asking the right questions,



reading the right signals, and owning the fix.
- Make quality measurable. Build voice-to-voice evals that gate releases and catch STT/LLM/TTS provider drift before customers do.
- Own provider tradeoffs. Decide how STT / LLM / TTS / RAG / tool-calling choices balance voice quality against latency, per conversation flow.
- Build adjacent products. Extend the platform into live assist, agent assist, and what comes next, on the same pipeline foundations.
- Set the bar. Review, mentor, and define engineering standards for a growing team.

What we’re looking for
- 5+ years building production products and systems, with at least 2 of those years in real-time voice, operating it in production, not just shipping a demo.
- Deep understanding of the full voice pipeline, every stage end to end and how each one affects the next and shapes quality and latency.
- Strong in Go/Python, comfortable across the whole pipeline. Produ

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