Voice AI Engineer

Role Overview

We are looking for a skilled Voice AI Engineer to build and improve real-time conversational voice systems. The candidate should have experience with Speech-to-Text (STT), Text-to-Speech (TTS), LLMs, voice agents, APIs, and real-time AI applications.

Responsibilities

• Build and optimise real-time voice pipelines, including Speech-to-Text (STT), Text-to-Speech (TTS), and orchestration layers.
• Improve end-to-end latency and create natural voice interactions with effective turn-taking, barge-in, interruption handling, endpointing, and silence recovery.
• Design and improve the LLM agent layer, including prompt engineering, tool/function calling, conversation state, context management, and fallback behaviour.
• Integrate voice AI systems with telephony platforms, EMR, practice management systems, scheduling tools, and external APIs.
• Develop evaluation and monitoring systems to measure voice quality, transcription accuracy, task completion, latency, and failure rates.
• Analyse call recordings and user feedback to identify opportunities for product improvement.
• Collaborate with clinical, engineering, product, and customer success teams.
• Take ownership of Voice AI features from initial concept and development through testing, deployment, and production support.

Requirements

• 1–5 Years of experience.
• Strong experience with Python, APIs, and backend development.
• Knowledge of STT, TTS, LLMs, conversational AI, and real-time voice systems.
• Experience with prompt engineering, AI agent workflows, RAG, tool calling, and context management.
• Understanding of WebSockets, streaming systems, low-latency architectures, and real-time communication.
• Experience integrating third-party APIs and telephony platforms.
• Knowledge of cloud platforms, databases, monitoring, and production deployment.
• Bachelor's degree preferred.

Skills

• Python
• LLMs
• Speech-to-Text (STT)
• Text-to-Speech (TTS)
• WebSockets