AI Engineer
Indexed description
Join us in making the future more intelligent!
About Your Day-to-day
You will join our Conversational 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.
- At least 2-4 years of relevant experience
- 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.
- 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.
☀️ Office located at the heart of Barcelona and hybrid working model.
💸 Comprehensive compensation package, including private medical insurance coverage and flexible remuneration through Coverflex, including meals, gym pass, transport, and kindergarten.
📚Learning budget to support your career ambition.
🏃Access to Urban Sports (wellness app)
📄 TaxDown to cover your tax declaration
🌍 Great international, inclusive, and dynamic work environment (more than 20 nationalities!)
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