About the role
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:
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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