Voice AI Engineer

Intro For this position we are only looking for candidates located in Greece, Germany or Austria .

Nairon GmbH is a Swiss startup building AI voice agents that answer and make phone calls for businesses.

Our platform runs real-time conversations over the phone and on the web, connected to our customers' telephony and business tools.

We value clear communication, thoughtful engineering, and a collaborative approach to problem-solving.

Join us as we continue to develop tools that make a difference.

Tasks As a Voice AI Engineer at Nairon GmbH, you will make our agents sound fast, natural and reliable in live calls.

Your responsibilities will include:

Improving turn-taking: when the agent speaks, waits, yields or gets interrupted, including voice activity and end-of-turn detection.

Cutting end-to-end latency across speech recognition, language models and speech synthesis, and making provider failover seamless.

Optimising how we use LLMs in conversation: prompting, tool calls, streaming and speculative or parallel requests.

Serving our own speech models (STT and TTS) on GPUs, measuring throughput and time to first audio.

Fine-tuning speech and language models for our customers' languages and voices.

Building evaluation: test calls, benchmarks and quality metrics that tell us when a change really helps.

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

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.

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.

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

You measure before and after, and trust numbers over impressions.

Ownership of a problem from the first bad call to the fix in production.

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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