Descripción de la oferta
ph3AI Engineer /h3 pDepartment: Delivery /p pEmployment Type: Full Time /p pLocation: Madrid /p h3Description /h3 pAt 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. /p pWe 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. /p pWe are currently looking for a passionate and enthusiastic AI Engineer to join our Team. /p pWe 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 change. /p pJoin 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 Spanish. /p h3Key Responsibilities /h3 h3Discovery Design /h3 ul liTranslate business/ CX needs into AI solution designs (NLU/LLM, RAG, ASR/TTS, integrations). /li liDefine functional non‑functional requirements (latency, resiliency, observability, security). /li /ul h3Modeling Implementation /h3 ul liBuild and optimize NLU/LLM components (classification, NER, summarization, RAG over KBs). /li liDevelop data pipelines for ingestion, cleansing, PII redaction, and evaluation datasets. /li /ul h3MLOps / LLMOps /h3 ul liImplement CI/CD for models and prompts, feature flags, canary/rollback. /li liTrack experiments, lineage, and model/prompt versions; automate regression tests. /li /ul h3Testing Evaluation /h3 ul liCreate unit, integration, regression, and load tests. /li /ul h3Deployment Operations /h3 ul liOperate services in production with SLOs, monitoring, alerting, and incident response. /li liDrive continuous improvement via analytics, conversation reviews, and error triage. /li /ul h3Security, Privacy Compliance /h3 ul liEnforce GDPR/LOPDGDD: consent, minimization, retention, access control, auditability. /li /ul h3Collaboration Documentation /h3 ul liWork with conversation designers, software engineers, data scientists, QA, and Ops. /li liProduce clear design docs, runbooks, and stakeholder updates. /li /ul h3Skills Knowledge and Expertise /h3 ul liParticipation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and generative AI. /li liExperience in customer relations, requirements gathering, design, validation, etc. /li liDevelopment 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... /li liExperience in designing, writing, and improving AI prompting under different LLM models. /li /ul pWhat extra would be desirable: /p ul liKnowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes /li liExperience in contact center and Meta integrations on different platforms. Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes /li liBot development using conversation technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix, Microsoft Bot Framework, and VXML. /li liKnowledge and experience in programming and scripting (Javascript/Node, Python, Java bash, etc.). /li liExperience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Recognizer. /li liExperience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated with bots. /li liProficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly git), Agile /li liAbility 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 developed. /li /ul h3Benefits /h3 ul liPension Scheme /li liRemote/Flexible work /li liLife insurance /li liHealth insurance /li li25 days paid holiday a year /li liLinkedIn Learning /li liPlus many more! (Benefits are dependant on your base location.) /li /ul h3The Small Print /h3 pStrictly 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. /p /p #J-18808-Ljbffr
