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.

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:

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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

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Flexible Work Setup: Work fully remotely or from a co-working space — whichever suits you best.

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Equipment Provided: Company laptop and phone provided for all employees.

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Collaborative Environment: Join a small, agile team where your contributions have a direct impact.

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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.

Originally posted on Himalayas