
- Professional
- Optionales Büro in Madrid
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 Bot Developer to join our Team
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 change.
Join the customer service bot/AI agent development team for contact center environments, working end‑to‑end across the lifecycle: requirements, design, development, unit & integration testing, deployment, and post‑production support. You will build scalable conversational solutions (voice/chat), integrate with CCaaS/CRM systems, and continuously optimize performance, reliability, and customer experience in Spanish.
Key Responsibilities
- Translate business requirements into technical designs, intents/entities, dialogue flows, and handoff policies.
- Define non‑functional requirements (latency, resilience, observability, security).
- Implement bots/AI agents (LLM/NLU pipelines, prompt/system instructions, tools/functions, RAG).
- Build integrations (REST/GraphQL, webhooks, event streams) with CCaaS/CRM/knowledge bases.
- Configure ASR/TTS for voice and omnichannel use cases.
- Create unit/integration/regression tests; automate with CI/CD.
- Establish evaluation datasets and metrics (precision/recall/F1, latency, containment).
- Ship via CI/CD, manage environments, feature flags, and rollout/rollback.
- Monitor production (logs/metrics/traces), triage incidents, and drive root‑cause fixes.
- Continuously improve prompts, datasets, flows, and integrations based on analytics.
- Implement PII redaction, data minimization, access controls, and auditability.
- Ensure GDPR/LOPDGDD compliance and Responsible AI guardrails.
- Partner with conversation designers, data scientists, QA, Ops, and vendors.
- Maintain clear technical docs, runbooks, and coding standards.
Skills Knowledge and Expertise
- 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.
- 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.).
- Advanced command of key Generative Artificial Intelligence terminology and concepts, especially in the use of large-scale Language Models (LLMs) such as GPT or Gemini.
- Deep understanding of the capabilities, limitations, and functioning of LLMs.
- Experience in the design, implementation, or use of Retrieval-Augmented Generation (RAG) architectures to enrich generated responses with external information.
- Proficiency in generative AI-based tools for productivity, development, analysis, and automation tasks (e.g., Copilot, ChatGPT, Notion AI, GitHub Copilot, etc.).
- Ability to integrate generative AI solutions into business workflows, including APIs, SDKs, and cloud platforms.
- 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...
- 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. Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes
- 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.
Benefits
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.