The Role
Build and optimize real-time voice AI agents for phone and web conversations. Responsibilities include improving turn-taking, reducing latency across STT, LLM, and TTS systems, implementing provider failover, serving speech models on GPUs, fine-tuning models, and creating evaluations for call quality. The role requires strong Python and production experience with real-time audio, conversational AI, or machine learning model serving.
Summary Generated by Built In
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.
_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.
Skills Required
- Production experience in real-time audio, conversational AI, or machine learning model serving
- Strong Python skills, including asyncio and streaming pipelines
- Hands-on experience with speech technologies including STT, TTS, and VAD in latency-sensitive systems
- Hands-on experience with LLM APIs in latency-sensitive systems
- Experience serving models on GPUs, including batching and memory-limit fundamentals
- English proficiency, written and spoken
- Experience with LiveKit Agents, pipecat, or WebRTC
- Experience fine-tuning speech or language models using LoRA or full fine-tuning
- Experience with audio signal processing, such as echo cancellation or noise suppression
- German language skills or experience with German-language speech data
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The Company
What We Do
Nairon AI specializes in building and deploying autonomous AI employees to automate repetitive business workflows. Their offerings include AI agents for outbound outreach, customer support, and research, as well as a voice-based assistant. The company also provides data-driven technical recruiting services, featuring candidate sourcing and AI-nativeness benchmarking to help modern teams scale their workforce.
