AI Engineer

About the Position

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.

Responsibilities

Discovery & Design

• Translate CX and business needs into AI solution designs spanning NLU/LLM, RAG, ASR/TTS, and back-end integrations.
• Define functional and non-functional requirements: latency, resiliency, observability, security, cost-per-conversation.

Agent & Model Implementation

• Design and build agentic AI solutions - single-agent, multi-agent, tool-using, and orchestrated patterns - using modern frameworks and frontier models.
• Build and optimise NLU/LLM components: classification, NER, summarisation, RAG over enterprise knowledge bases.
• Engineer prompts, tool schemas, context windows, and token budgets for accuracy, latency, and cost.
• Develop data and knowledge pipelines for ingestion, cleansing, PII redaction, and evaluation datasets.

Evaluation & Quality

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

LLMOps & Operations

• Implement CI/CD for models and prompts, with feature flags, canary releases, and rollback.
• Track experiments, lineage, and model/prompt versions.
• Operate services in production against SLOs with monitoring, tracing, alerting, and incident response.

Responsible AI

• Apply practical guardrails for safety, bias, hallucination, prompt-injection, and jailbreak resistance.
• Enforce GDPR / LOPDGDD: consent, minimisation, retention, access control, auditability.

Collaboration

• Work alongside conversation designers, software engineers, data scientists, QA, and Ops.
• Produce clear design docs, runbooks, and stakeholder updates.

Requirements

Required

• Hands-on experience delivering conversational AI - voicebots, chatbots, or virtual assistants - including conversational flows, open-ended interactions, NLU, and generative AI.
• Production experience building agents with generative AI: agentic architectures (single-agent, multi-agent, tool/function-calling, planner–executor patterns), RAG, and orchestration.
• Working knowledge of frontier LLM providers and platforms - e.g., Anthropic Claude, OpenAI, Google Gemini, Amazon Bedrock, Microsoft Azure AI - and a practical sense of when to use which.
• Strong prompt engineering and context engineering skills across multiple LLM families, including system prompt design, structured output, and grounding strategies.
• An evaluation mindset: you measure agent quality with eval sets, traces, and metrics - not vibes.
• Awareness of AI ethics, bias, and safety, with practical experience mitigating them in deployed systems.
• Token, latency, and cost optimisation - model routing, caching (incl. prompt caching), context compression, retrieval tuning - as a core engineering discipline.
• Comfort with agentic development workflows - using AI coding assistants and AI co-work / pair-development models (Claude Code, Copilot, Cursor, or equivalent) as part of your day-to-day delivery.
• Solid software engineering fundamentals: Python and/or JavaScript/Node, Git, IDEs, Agile delivery.
• Customer-facing skills: requirements gathering, design, validation, and stakeholder communication.
• Working proficiency in Spanish and English.

Desirable

• Cloud services, primarily AWS, with containerised deployment via Docker / Kubernetes.
• Contact centre integrations (e.g., Genesys, Avaya, Cisco, Amazon Connect) and Meta / WhatsApp Business / digital channel integrations.
• Experience with ASR/TTS and voice-specific concerns: barge-in, turn-taking, ASR error recovery, latency budgets.
• Speech/NLU recognition models and continuous-improvement loops (Microsoft STT, MS CLU, Google, Amazon).
• Observability for LLM systems: tracing, eval pipelines, online quality monitoring.
• Familiarity with emerging agent interoperability standards (e.g., MCP, A2A) and human-in-the-loop / escalation patterns.
• Microsoft Bot Framework, Genesys Dialog Engine, or VXML exposure.
• Consulting experience analysing existing bot estates, evaluating KPIs (containment, CSAT, AHT, transfer rate), and recommending improvements.

Nice to Have

• Exposure to Google Conversational Agent / Playbooks or DialogFlow - useful if you've worked with it, but not required.

We Offer

This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company.

Benefits may include:

• Pension Scheme
• Remote/Flexible work
• Life insurance
• Health insurance
• 25 days paid holiday a year
• LinkedIn Learning
• Plus many more! (Benefits are dependant on your base location.)

The Small Print

Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.

About the Company

At Sabio Group, we are dedicated to creating the next generation of AI-powered customer experience solutions. Our team is passionate about delivering exceptional experiences and pushing the boundaries of what's possible with AI.

Apply now to be a part of our innovative team in Madrid!