This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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 Spanish.
Job Responsibility:
Translate business/ CX needs into AI solution designs (NLU/LLM, RAG, ASR/TTS, integrations)
Work with conversation designers, software engineers, data scientists, QA, and Ops
Produce clear design docs, runbooks, and stakeholder updates
Requirements:
Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and generative AI
Experience in customer relations, requirements gathering, design, validation, 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
Nice to have:
Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes
Experience in contact center and Meta integrations on different platforms
Bot 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 bash, 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 Recognizer
Experience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated with bots
Proficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly git), Agile
Ability 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