At M47, we spark AI! We help tech companies understand
how AI can drive their strategic objectives and effectively plan an
implementation roadmap. Our mission is to leverage AI to create
solutions that can understand, interpret, and respond to human
language, empowering businesses and making better-informed
decisions. Join us in making the future more intelligent! About
your day-to-day: You will join our AI team as the dedicated
engineer for a key enterprise client project. You'll own the full
lifecycle — from prompt engineering and knowledge base design to
system integration, voice pipeline configuration, and continuous
performance optimization. This is an end-to-end ownership role:
your decisions directly shape the quality and reliability of a live
conversational AI product. Design, build, and continuously improve
chatbot and voicebot solutions using LLMs, NLU models, and agentic
AI frameworks. Engineer prompts and structure knowledge bases to
ensure accurate, context-aware responses across diverse user
intents. Build and maintain system integrations across platforms
using APIs and data pipelines to enable seamless end-to-end
automation. Configure and optimize STT/TTS systems for high-quality
voice performance and smooth telephony integration. Implement AI
safeguards and governance measures to ensure safe, reliable, and
unbiased model behavior. Proactively monitor model performance,
identify gaps, and drive optimization without waiting to be asked.
Document architectures, configurations, and deployment procedures




to ensure transparency and reproducibility. Collaborate with
product, engineering, and business stakeholder teams to align
solutions with client goals. This is for you if you have: At least
5 years of solid, relevant experience working directly with Agentic
AI for both chatbots and voicebots. Experience with AI models for
chatbots or voicebots Experience with model evaluation, tuning, and
deployment Knowledge of conversational AI platforms for chatbot and
voicebot development.( Cognigy or equivalent ) Experience with
speech technologies: STT (speech-to-text) and TTS (text-to-speech)
systems Model deployment and integration skills, including APIs and
system integrations Ability to monitor, evaluate, and optimize AI
models for performance, scalability, and reliability Understanding
of AI safety, bias mitigation, and ethical practices in
conversational AI Ability to document architectures,
configurations, and deployment procedures clearly Collaboration
skills to work with product, engineering, and UX teams Strong
English communication skills — written and spoken. Bonus points if
you have: Experience designing hybrid bot architectures combining
NLU and LLM approaches. Familiarity with ML ops practices — model
versioning, monitoring pipelines, deployment automation. Experience
working directly with enterprise clients in a technical delivery
capacity. A proactive learning mindset and genuine curiosity about
where conversational AI is heading. What is in it for you?

📌 Senior AI Engineer (Chatbots & Voicebots) (Cataluña)
🏢 M47
📍 Cataluña