Senior AI Engineer | Voice

## Responsibilities - Architect and implement production-ready generative voice AI solutions within our product suite - Develop voice-based AI systems, integrating speech technologies such as ASR/STT and TTS into conversational workflows - Design and optimize real-time voice agent workflows, balancing latency, reliability, and conversational quality - Architect and implement production-ready generative AI and LLM-based solutions to power voice experiences end-to-end - Implement evaluation, testing, and observability for AI systems to ensure reliability and continuous improvement - Establish best practices for AI development, testing, and deployment across products - Handle AI development hands-on as a core technical contributor within a small, fast-moving team where engineers own problems end-to-end and ship quickly ## Cross-Functional Collaboration - Work closely with product, design, and engineering teams to integrate AI capabilities into real product workflows - Partner with stakeholders to define and improve user experiences across voice, telephony, and AI-driven interactions - Translate complex AI concepts into practical product features and communicate them clearly to both technical and non-technical stakeholders ## Requirements ### Technical Expertise - 5+ years of software engineering experience - 1–2+ years of hands-on experience building and operating production Voice AI systems - Proven experience building and shipping production phone agents handling real users and real phone calls - Hands-on experience with at least one major voice-agent framework or provider such as LiveKit Agents, Vapi, Pipecat, Retell, Daily Bots, Bland, OpenAI Realtime, Twilio, Telnyx, Deepgram, Soniox, ElevenLabs, or Cartesia - Strong understanding of the complete voice pipeline, including STT, LLM orchestration, TTS, turn-taking, interruption handling, and latency optimization - Strong understanding of telephony concepts including PSTN, SIP, and WebRTC - Experience building LLM-powered products end-to-end, including prompt engineering, RAG, tool/function calling, model selection, and evaluation - Experience with LLM observability and evaluation tools and designing evaluation pipelines for AI systems - Strong programming skills in Python and solid software engineering practices - Experience implementing AI systems in real production environments, not purely research or academic settings ### Nice to Have - Experience operating high-volume outbound calling systems, including concurrency management, retries, and compliance considerations - Experience deploying OpenAI Realtime API or Gemini Live into production environments - Experience with voice evaluation and observability platforms or custom evaluation frameworks - Fluency or working proficiency in European languages such as German, French, Spanish, or Italian - Experience contributing to or participating in voice AI communities and open-source projects ## Note - You must be located in the CET -2/+2 timezone for this role! ## Benefits 🚀 Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up 🔒 Technical Ownership – Work directly on the systems powering AI features across multiple products 🌱 Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows 💼 Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead 🏡 Fully Remote – Enjoy the flexibility of working from anywhere 💻 Top Equipment – State-of-the-art MacBook plus all the accessories you need 🏋️ Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle If you're passionate about building production voice agents, solving real-world telephony challenges, and creating intelligent AI systems that users rely on every day, we’d love to hear from you.