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Senior AI Engineer | Voice

CompraTica Empleos

EMP:Technology
Germany
Tiempo Completo
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Descripción

We’re seeking a driven Senior AI Voice Engineer to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team delivering ‘Marie’, our AI phone assistant.

This role focuses on production voice AI systems operating over real telephony infrastructure: building, maintaining, and scaling phone agents that handle real customer conversations at production volume.

You'll own the complete voice stack, from telephony and speech systems through to LLM orchestration, tooling, evaluation, and observability.

Reporting to the AI Lead, you’ll work hands-on from architecture to implementation, collaborating with the Head of Engineering and product teams to ship reliable AI functionality while improving our voice infrastructure, evaluation workflows, and AI platform capabilities.

For an engineer who has personally shipped production phone agents and end-to-end LLM-powered products, this is an opportunity to take technical ownership of Marie, ship quickly, and shape how voice AI evolves across the company.

Your Challenge and Opportunity in This RoleYou’ll help define how voice AI is built and operated in a fast-moving product environment.

As a core Senior AI Voice Engineer, you’ll turn modern voice and generative AI technologies into production-ready systems that deliver real value to users.

Your primary goal will be to maintain, improve, and expand our phonebot platform.

Expect strong technical ownership, fast iteration, and a clear focus on building reliable voice systems that operate effectively in real-world telephony environments.

Tasks:AI Strategy & Implementation:Architect and implement production-ready generative voice AI solutions within our product suiteDevelop voice-based AI systems, integrating speech technologies such as ASR/STT and TTS into conversational workflowsDesign and optimize real-time voice agent workflows, balancing latency, reliability, and conversational qualityArchitect and implement production-ready generative AI and LLM-based.

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