Experteer Overview In this role you design, build, and operate scalable voice agents and conversational AI systems. You collaborate with linguists, backend engineers, and product teams to own end-to-end delivery—from dialogue design and NLU integration to API wiring and production observability. You will contribute reusable components and patterns to uplift the team and leverage AI-assisted tooling to accelerate development. This role offers impact across customer-facing and operational use cases within a data-driven, production-focused environment.Compensaciones / Ventajas
- Design, build, and operate voice agents and multi-turn dialogues with end-to-end quality ownership
- Architect dialogue logic including intent routing, context management, state handling, and escalation
- Integrate agents with backend services via REST APIs for live data and async processes
- Tune speech pipeline components (ASR, TTS, VAD) to meet accuracy and latency targets
- Instrument observability: conversation analytics, containment, drop-offs, error logging, and alerts
- Build reusable dialogue components and platform patterns for cross-use-case delivery




- Collaborate with Computational Linguists to improve NLU quality and entity extraction
- Diagnose issues across dialogue logic, NLU performance, and API integrations; perform root-cause analysis
- Contribute to design reviews, define quality standards, and share knowledge across the teamResponsabilidades
- 5+ years in conversational AI, voice agent development, or dialogue systems with production exposure
- Hands-on agent building experience with multi-turn dialogue design
- Strong NLU integration experience: intent classification, entity extraction, slot filling, dialogue state tracking
- Solid REST API design and consumption, authentication, error handling, and asynchronous responses
- Production experience: monitoring, incident response, quality measurement, continuous improvement
- Proficiency in Python for tooling and automation
- Experience with evaluation metrics: containment rate, task completion, NLU accuracy, overall conversation quality
- Solid understanding of ASR, TTS, and VAD
- Experience operating voice AI systems in productionRequisitos principales
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📌 Conversational Ai Engineer (Senior) (Madrid)
🏢 Allianz
📍 Madrid