Experteer Overview

Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta ocasión? Descúbralo a continuación.
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 / Beneficios
• 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 team

Responsabilidades
• 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, xqbhyrx 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 production

Requisitos principales
•

📌 Conversational AI Engineer (Senior) (Madrid)
🏢 Allianz
📍 Madrid