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Niche real-time voice expertise reduces applicant density despite Bangalore location.
Role requires specialized voice AI and real-time scaling experience, limiting cross-industry transferability.
Requires 5+ years and 2+ years real-time voice plus production Go and scaling experience.
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Own and operate distributed, real-time voice AI systems supporting thousands of simultaneous calls with enterprise-scale concurrency.
Maintain end-to-end latency of conversations under approximately 800ms by managing speech-to-text, language models, text-to-speech, retrieval-augmented generation, tool-calling, and network components.
Diagnose and fix call quality issues quickly, implement measurable voice-to-voice evaluation metrics, and determine tradeoffs among AI providers to optimize quality and latency.
5+ years experience building production products and systems, including at least 2 years operating real-time voice AI systems in production.
Strong proficiency in Go and Python, with experience rewriting performance-critical components to enhance throughput under load.
Deep understanding of the full voice AI pipeline stages and their impact on quality and latency at scale.
Location: Bangalore office (implied; explicit onsite requirement not stated).
Experienced in scaling real-time voice AI frameworks such as Pipecat (or comparable) to high concurrency in production environments.
Demonstrated capability with provider tradeoffs managing STT, LLM, TTS, RAG, and tool-calling for balancing voice quality and latency.
Practices an evaluation-driven approach to quality, using real signal metrics rather than subjective judgments, and familiar with agentic coding tools.