Lead Voice AI Engineer

📋 Description

• Design, architect, and build real-time voice runtimes capable of supporting live, natural
• Develop and optimize streaming ASR, TTS, voice activity detection, endpointing, turn-taking
• Build adaptive voice pipelines for high-noise environments such as hospitals, factories
• Architect multi-provider speech systems capable of supporting multilingual conversations, accents
• Develop Voice AI agents capable of handling multi-turn and multi-intent conversations, context
• Integrate voice agents with enterprise workflows, APIs, CRM platforms, ITSM systems, knowledge

🎯 Requirements

• 7+ years of professional software engineering experience.
• Strong track record of building and operating production-grade distributed, real-time, or highly
• Hands-on experience developing Conversational AI, Voice AI, Speech AI, or LLM-based agent systems.
• Strong programming expertise in Python, Java, Go, or an equivalent programming language.
• Experience with APIs, streaming architectures, asynchronous systems, and cloud-native platforms.
• Strong understanding of system design, scalability, reliability, fault tolerance, and production

🎁 Benefits

• Opportunity to lead the development of production-grade Voice AI systems at enterprise scale.
• Hands-on ownership across voice architecture, engineering, deployment, optimization, and production
• Exposure to cutting-edge technologies across LLMs, ASR, TTS, conversational AI, real-time audio
• Opportunity to solve challenging voice problems involving multilingual conversations
• High-impact work supporting frontline industries and real-world enterprise use cases.
• Opportunity to shape engineering standards, architecture decisions, evaluation frameworks, and