At Sabio Group, we're building the next generation of AI-powered customer experience for some of the world's most demanding enterprise brands — the kind of frontier customers who set the bar for what "great CX" looks like. We pair frontier-class large language models with deep contact centre expertise to deliver agentic experiences that materially improve containment, CSAT and operational efficiency.

We're hiring an AI Engineer to join our customer service bot / AI agent team in Madrid. You'll work end-to-end across the lifecycle — discovery, design, build, evaluate, deploy, operate — engineering robust LLM/NLU solutions, knowledge pipelines and integrations across voice and digital channels, primarily in Spanish.

This is a hands-on engineering role for someone who is curious about where AI is going, comfortable shipping agentic systems into production, and thoughtful about doing so safely and cost-effectively.

Key Responsibilities

Discovery & Design

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Translate CX and business needs into AI solution designs spanning NLU/LLM, RAG, ASR/TTS and back-end integrations.

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Define functional and non-functional requirements: latency, resiliency, observability, security, cost-per-conversation.

Agent & Model Implementation

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Design and build agentic AI solutions — single-agent, multi-agent, tool-using and orchestrated patterns — using modern frameworks and frontier models.

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Build and optimise NLU/LLM components: classification, NER, summarisation, RAG over enterprise knowledge bases.

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Engineer prompts, tool schemas, context windows and token budgets for accuracy, latency and cost.

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Develop data and knowledge pipelines for ingestion, cleansing, PII redaction and evaluation datasets.

Evaluation & Quality

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Build evaluation harnesses (offline eval sets, LLM-as-judge, regression suites, A/B testing) and treat eval as a first-class deliverable, not an afterthought.

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Drive continuous improvement via conversation analytics, error triage and failure-mode analysis.

📌 AI Engineer (Madrid)
🏢 Sabio Group
📍 Madrid