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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement core Voice Platform components (Audio Acquisition, Conversation Management, Speech Generation, API integration, Voice AI models).
Build and deploy large-scale distributed Voice AI systems across multiple regions and datacenters.
Partner with product managers and customers to translate use cases into scalable Voice AI solutions and mentor engineering teams.
Minimum Requirements
8+ years of relevant industry experience.
~4+ years building LLM-based applications (integration, not training).
6+ years of development experience in Python, Golang, Java, or similar languages.
Experience operating highly available distributed workloads on Kubernetes with a DevOps approach.
Ideal Candidate Profile
Proven track record architecting and shipping large-scale distributed Voice AI or voice platform systems (real-time audio, STT/TTS, telephony, or WebRTC).
Experience integrating AI into workflows, decision-making, or problem-solving with AI-powered tools or analyzing AI-driven insights.
Experience building agents via prompt engineering and developing LLM-driven user experiences.
