AI Lead

We are seeking a Voice AI/NLP expert to lead the design and deployment of a real-time, on-premises conversational AI pipeline for call automation. You will be responsible for architecting and implementing streaming Speech-to-Text (ASR), local LLM/NLU, and Text-to-Speech (TTS) solutions using open-source models such as Whisper, Vosk, Coqui, and Llama. The ideal candidate has deep hands-on experience with real-time audio processing, low-latency inference, and building scalable microservice-based AI systems. Strong Python skills and proven expertise in integrating AI pipelines with telephony/media servers (such as LiveKit, SIP, or WebRTC) are essential, as is a strong commitment to privacy and data security—our entire stack runs offline and on-premises.

You will work closely with backend and DevOps engineers to deliver a robust, horizontally scalable, multi-tenant voice platform that handles high call volumes and sensitive data. Experience in AI observability, performance tuning, and continuous evaluation of speech/NLP models is key. Familiarity with tool-calling, call routing, and integrating AI agents into contact center workflows is highly valued. If you have a track record of deploying and optimizing conversational AI in production environments, especially for privacy-first or enterprise solutions, we want to hear from you.

• Proven experience (7+ years) in AI/ML engineering, research, or applied data science, with at least 2+ years in a leadership role.
  

• Strong hands-on expertise in machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
  

• Deep knowledge of ML model lifecycle management (training, evaluation, deployment, monitoring).
  

• Proficiency in Python and experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
  

• Track record of deploying AI solutions into production at scale.
  

• Strong leadership, communication, and stakeholder management skills.
  

• Commitment to ethical AI practices and data privacy.