UnleashX is building the AI workforce. Companies use our platform to deploy digital teammates that talk, act, and deliver outcomes across sales, support, and operations. These are not assistants. They are accountable teammates measured on performance and results.

Role Details :

Title : AI Engineer (Voice AI)

What Youll Do :

- Build and improve real-time voice agents for sales, support, and operations use cases

- Work with ASR, TTS, LLMs, and dialog orchestration frameworks to enhance voice quality and response accuracy

- Integrate multiple providers (Deepgram, Sarvam, ElevenLabs, OpenAI) into a single modular voice pipeline

- Reduce latency, improve interrupt handling, and make conversations more natural

- Own agent evaluation : call audits, response quality scoring, accuracy improvements

- Work closely with product and customers to understand real call behaviours and fix friction points

- Contribute to building our voice infra : WebRTC, streaming sockets, and call routing flows

What You Bring :

- 3 to 6 years experience as AI/ML/LLM engineer working with voice or conversational systems

- Hands-on with LLM prompting, finetuning, embeddings, and RAG

- Solid understanding of STT and TTS models and how to tune them for natural speech

- Proficient in Python and Node

- Experience working with real-time audio streaming (WebRTC, WebSockets) is a strong advantage

- Ability to debug live calls and improve agent behaviour fast

- Ownership mindset and willingness to iterate directly with users

What Success Looks Like :

- Voice agents handle interruptions smoothly and respond naturally

- Call success rates and customer completion rates improve month over month

- Token, latency, and infra costs reduce through better engineering and model choice

- Customers start trusting agents as teammates, not tools

If you are someone who :

- Builds fast and learns faster

- Cares about product experience, not just model performance

- Wants to create the future of how businesses talk to customers