> Markdown version of [/jobs/ext/1690419-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1690419-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Ai Engineer

- **Company:** M47 - Ai Company
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Performance Tuning, Software Safety, Systems Integration, Speech Recognition, Chatbots, Large Language Models, Prompt Engineering, Model Validation, Deployment Automation, Enterprise Integration, Machine Learning Operations, Speech Synthesis, Natural Language Understanding, Software Version Control, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://www.buscojobs.com.es/ai-engineer-en-barcelona-ID-364328442

## About the Role

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.
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.

## Description

About Your Day-to-dayMaximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil.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.This Is For You If You HaveAt least 2-4 years of relevant experienceExperience with AI models for chatbots or voicebotsExperience with model evaluation, tuning, and deploymentKnowledge 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) systemsModel deployment and integration skills, including APIs and system integrationsAbility to monitor, evaluate, and optimize AI models for performance, scalability, and reliabilityUnderstanding of AI safety, bias mitigation, and ethical practices in conversational AIAbility to document architectures, configurations, and deployment procedures clearlyCollaboration skills to work with product, engineering, and UX teamsStrong English communication skills - written and spoken.Bonus Points If You HaveExperience 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?Indefinite full-time contractOffice 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.xcskxljAccess to Urban Sports (wellness app)TaxDown to cover your tax declarationGreat international, inclusive, and dynamic work environment (more than 20 nationalities!)#J-*****-Ljbffr


## Related Videos

- [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [Psychological Safety in Software Engineering - Jenny-Margrethe Vej & Alexandra Hou Aldershaab](https://www.wearedevelopers.com/videos/2142-psychological-safety-in-software-engineering-jenny-margrethe-vej-alexandra-hou-aldershaab)
- [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems)
- [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)