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.

Responsibilities

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.




Run experiments and contribute improvements to our evaluation frameworks, so results are reproducible and tied to real product outcomes.
Track developments in open-source LLM and ASR frameworks and bring evidence-backed recommendations to the team.

Requirements

5-8 years in software engineering, with meaningful depth in ML/NLP systems.
Hands-on experience with LLMs - from prompt design through fine-tuning, evaluation, and deployment.
Exposure to ASR/STT technologies: Whisper, Kaldi, DeepSpeech, or commercial equivalents.
Proficiency with ML tooling: Hugging Face, LangChain, or equivalent frameworks.
Cloud experience (AWS or GCP) for model training, deployment, and monitoring.
Comfortable reasoning through modelling and architecture trade-offs with incomplete information, and can explain that reasoning clearly to the wider engineering team.
Writes clean, production-ready Python that backend eng

📌 Research Engineer (Bengaluru)
🏢 GreyLabs AI
📍 Bengaluru