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Medium — mid-level role with broad skillset but niche Voice AI focus reduces applicant density.
High — requires niche voice AI, telephony, and real-time streaming expertise not easily transferable.
High — explicit years plus many mandatory, specialized Voice AI and real-time technology requirements.
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Design, build, and scale production-grade real-time Voice AI systems with low latency using Speech-to-Text, Large Language Models, and Text-to-Speech.
Develop and optimize real-time streaming pipelines, including WebSocket/WebRTC infrastructure and telephony integration (Twilio, SIP, LiveKit) to support thousands of concurrent voice sessions.
Implement advanced features such as interruption handling, conversation memory, session management, and deploy Voice AI infrastructure on Kubernetes and cloud platforms.
Bachelor's or Master's degree in Computer Science or related field.
6-8 years of software engineering experience with at least 3+ years in real-time streaming systems and 2+ years on Voice AI or conversational AI products.
Strong system design and distributed systems experience.
Work Experience Required: 6-8 years software engineering, including real-time streaming and Voice AI development.
Experienced in building and deploying production Voice AI products capable of handling 1000+ concurrent sessions.
Proficient with real-time communication frameworks such as Pipecat, LiveKit, WebRTC, and telephony providers like Twilio or SIP.
Skilled in backend development with Python, asynchronous systems, cloud infrastructure (AWS, GCP, Azure), and scalable distributed system design.