Research Engineer - Voice & Language AI

About the role

This is a pure Individual Contributor role within our R&D function, working across STT, LLM, and TTS systems. The mandate is the same one every research role here carries: close the distance between research and production. You'll work directly with backend engineers to take your work from a working prototype to something running reliably in front of real customers, with the observability it needs to be trusted at enterprise scale.

What you'll do

• Improve STT/ASR transcription accuracy and reduce latency on specific domain and language targets, within multilingual, financial-services voice data
• Fine-tune, evaluate, and deploy LLMs for defined BFSI tasks: information extraction, classification, summarisation, and compliance signal detection
• Build and benchmark TTS improvements against product requirements - quality, naturalness, latency, integration fit
• Extend and maintain our prompt engineering and RAG infrastructure for production LLM features
• Work directly with backend engineers to take your research output from prototype to deployed, observable production feature

What you need

• 5–8 yrs of experience
• Research
• Machine learning
• LLMs
• Python
• NLP
• AWS
• Any graduate

Good to have

• GCP
• Prompt engineering
• Transcription