About the role 

We’re looking for a mid-level AI Engineer who lives close to the model. Your core work is training and fine-tuning foundation models across language and speech — large language models (LLMs), automatic speech recognition (ASR), and text-to-speech (TTS). Beyond training, you’ll also build GenAI applications, integrate models into agentic workflows, and own the MLOps that keeps everything running in production. It’s a full-stack AI role with model training at its heart. 

Core responsibilities — model training & fine-tuning 

• Fine-tune LLMs using parameter-efficient methods (LoRA, QLoRA, PEFT, adapters) and full fine-tuning where needed. 
• Train and fine-tune ASR models for custom vocabularies, accents, and low-resource languages. 
• Develop and fine-tune TTS systems for natural prosody, voice cloning, and multilingual synthesis. 
• Curate, clean, and prepare high-quality datasets — ...