Voice AI Engineer

Requirements

Experience:

A senior or strong mid-level engineer with production experience in real-time audio, conversational AI or ML model serving.

Technical Skills:

Required:

• Strong Python , including asyncio and streaming pipelines.
• Hands-on work with speech (STT, TTS, VAD) and LLM APIs in latency-sensitive systems.
• Model serving on GPUs, for example with vLLM or similar, and the basics of batching and memory limits.

Nice to have:

• LiveKit Agents , pipecat or WebRTC.
• Fine-tuning (LoRA or full) of speech or language models.
• Audio signal processing such as echo cancellation or noise suppression.
• German, or experience with German-language speech data.

Communication:

• English proficiency is essential , both written and spoken, as it is the working language for all positions.

Soft Skills:

• You measure before and after, and trust numbers over impressions.
• Ownership of a problem from the first bad call to the fix in production.

Benefits

• Flexible Work Setup: Work fully remotely or from a co-working space — whichever suits you best.
• Equipment Provided: Company laptop and phone provided for all employees.
• Collaborative Environment: Join a small, agile team where your contributions have a direct impact.
• Growth Opportunities: Work across the whole voice stack, from model serving to the conversation the caller hears.

Closing

If you want to make AI conversations feel human on a real phone line, we'd love to hear from you.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Nov 01, 2026

Posted Nov 01, 2026