Voice AI Engineer
TypeFull-time job
LocationGermany
Posted1 hour ago
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas
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