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Niche voice-AI specialization limits candidates despite metro location and mid-level experience, yielding moderate competition.
Role requires niche voice-AI, telephony integration and STT/TTS expertise, limiting cross-industry transferability.
Explicit 3-5 years plus specialist STT/TTS, Pipecat/LiveKit, cloud, and production delivery requirements enforce strict shortlisting.
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Own end-to-end delivery of voice AI use cases from discovery to live production within committed timelines and contractual SOW constraints.
Customize and configure Aivar's Convogent voice AI platform integrating with each customer's telephony stack, CRM, knowledge bases, and compliance requirements.
Engineer, optimize, troubleshoot, and maintain real-time audio pipelines and orchestration layers connecting STT, TTS, and LLM components to meet customer quality and latency goals in production environments.
3-5 years of relevant experience in voice AI engineering and delivery roles.
Proficient with voice AI frameworks such as Pipecat and LiveKit, and strong expertise in STT (e.g. Deepgram, Whisper) and TTS (e.g. ElevenLabs, Amazon Polly) technologies.
Programming experience with Python plus at least one of Node.js, TypeScript, or Go.
Experience deploying cloud-native solutions on AWS using Lambda, EC2, S3, EKS and containerization technologies like Docker and Kubernetes.
Has prior customer-facing delivery or consulting experience, able to manage multiple live customer engagements and technical stakeholders under contractual constraints.
Experienced with regulated industries such as fintech, healthcare, or BFSI, understanding compliance and security requirements in voice AI implementations.
Comfortable with conversational AI design including prompt engineering, LLM integration, and adapting to diverse enterprise telephony and CRM stacks.