Voice AI Engineer
# Voice AI Engineer **Nairon** · Germany · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Voice-AI-Engineer]` `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Conversational-AI-Engineer]` `[Software-Engineer]` `[Voice-AI-Engineering]` `[Speech-AI-Engineer]` `[Voice-Bot-Engineer]` `[Voice-Technology-Engineer]` `[Voice-Agent-Engineer]` `[Voice-Applications-Engineer]` `[Voice-Platform-Engineer]` `[AI-Voice-Systems-Engineering]` `[Voice-Recognition-Engineer]` --- ### 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. Originally posted on Himalayas
- Voice-AI-Engineer
- AI-Engineer
- Machine-Learning-Engineer
- Conversational-AI-Engineer
- Software-Engineer
- Voice-AI-Engineering
- Speech-AI-Engineer
- Voice-Bot-Engineer
- Voice-Technology-Engineer
- Voice-Agent-Engineer
- Voice-Applications-Engineer
- Voice-Platform-Engineer
- AI-Voice-Systems-Engineering
- Voice-Recognition-Engineer
Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).