Lead Research Engineer - Voice & Language AI

About the role

This is a pure Individual Contributor role within our R&D function. You will work across STT, LLM, and TTS systems - with a clear mandate to close the distance between research and production. That means working directly with backend engineers and systems to ensure your work integrates into live systems cleanly, quickly, and with the observability it needs to be trusted at enterprise scale.

What you'll do

• Lead optimisation work on STT/ASR systems - improving transcription accuracy and reducing latency for domain-specific
• Evaluate, fine-tune, and deploy LLMs for BFSI-specific tasks: information extraction, classification, summarisation, and compliance signal detection
• Build and benchmark TTS capabilities against real product requirements - model quality, naturalness, latency, and integration fit with downstream systems
• Design and maintain scalable prompt engineering and RAG infrastructure for production LLM features
• Work closely with backend engineers and systems (hands-on) to take research outputs from working prototype to deployed, observable production feature

What you need

• 8–14 yrs of experience
• Research
• LLMs
• Machine learning
• NLP
• AWS
• GCP
• Any graduate

Good to have

• Python
• Prompt engineering
• Transcription