At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning.

We work with some of the world’s largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe’s fastest-growing providers of CX transformation solutions, we’re committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience

.
We are currently looking for a passionate and enthusiastic AI Engineer to join our Te

am
We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of chan

ge.
Join the customer service bot/AI agent team for contact center environments, contributing end‑to‑end across the lifecycle: requirements, design, development, unit & integration testing, deployment, and post‑production support. You will engineer robust LLM/NLU solutions, data/knowledge pipelines, and integrations that improve containment, CSAT, and operational efficiency across voice and digital channels in Span

ish.
Key Responsibil

ities
Discovery &

DesignTranslate business/ CX needs into AI solution designs (NLU/LLM, RAG, ASR/TTS, integrat
ions).Define functional & non‑functional requirements (latency, resiliency, observability, secu

rity).Modeling & Implemen

tationBuild and optimize NLU/LLM components (classification, NER, summarization, RAG over
KBs).Develop data pipelines for ingestion, cleansing, PII redaction, and evaluation dat

asets.MLOps /

LLMOpsImplement CI/CD for models and prompts, feature flags, canary/rol
lback.Track experiments, lineage, and model/prompt versions; automate regression

tests.Testing & Eval

uationCreate unit, integration, regression, and load

tests.Deployment & Oper

ationsOperate services in production with SLOs, monitoring, alerting, and incident res
ponse.Drive continuous improvement via analytics, conversation reviews, and error t

riage.Security, Privacy & Comp

lianceEnforce GDPR/LOPDGDD: consent, minimization, retention, access control, auditab

ility.Collaboration & Documen

tationWork with conversation designers, software engineers, data scientists, QA, an
d Ops.Produce clear design docs, runbooks, and stakeholder up

dates.
Skills Knowledge and Ex

pertise
We need you to con

tribute:Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and genera
tive AI.Experience in customer relations, requirements gathering, design, validati
on, etc.Development of bots or agents using generative AI technologies such as AI Agentics architecture, Google Conversational Agent with Playbooks, Gemini, OpenAI, Amazon Bedrock, Microsoft Azure AI, other AI architectures, or
LLMs...Experience in designing, writing, and improving AI prompting under different LLM

models.
What extra would be d

esirable:Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or K
ubernetesExperience in contact center and Meta integrations on different platforms. Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or K
ubernetesBot development using conversation technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix, Microsoft Bot Framework,
and VXML.Knowledge and experience in programming and scripting (Javascript/Node, Python, Java bas
h, etc.).Experience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Re
cognizer.Experience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated w
ith bots.Proficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly gi
t), AgileAbility to analyze and participate in consulting projects where customer automation bot services have been analyzed, evaluating KPIs, and a proposal for improving their systems and services has been d

eveloped.