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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Bros Group - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Monitoring of Systems, Machine Learning, Software Deployment, Google Cloud, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, HuggingFace, Machine Learning Operations, Virtual Agents - **Published:** July 26, 2026 - **Apply:** https://www.jobleads.com/es/job/e20e19389728cca2932e351e774547300 ## About the Role * 5+ years of professional experience in Artificial Intelligence * 3+ years of experience as a Data Scientist or Machine Learning Engineer * 1-2 years of hands-on experience delivering GenAI / Agentic AI solutions for real business use cases * Strong hands-on experience with Machine Learning, Deep Learning and/or Computer Vision * Proven experience taking AI solutions from proof of concept to production deployment * Hands-on experience working with LLM ecosystems such as OpenAI, Anthropic, Google, Amazon Bedrock and Hugging Face * Experience with LangChain, LangGraph or similar AI orchestration frameworks * Knowledge of agentic protocols such as MCP and A2A * Strong problem-solving and analytical skills with the ability to translate business challenges into practical AI solutions * Pragmatic mindset focused on delivering measurable business value * Professional working proficiency in English and Spanish, * Experience building enterprise AI capabilities across different business functions * Experience within industrial or manufacturing environments * Experience with MLOps, model monitoring and AI lifecycle management * Cloud certifications (AWS, Microsoft Azure and/or Google Cloud Platform) * Knowledge of German and/or French ## Description As an AI Engineer, you will join the Global AI team, designing, developing and deploying end-to-end AI solutions that solve complex business challenges and deliver measurable value. Initially focused on Generative AI, Agentic AI and LLM-based applications, you will take solutions from experimentation to production while helping build scalable, enterprise-ready AI capabilities, * Analyze business challenges and transformation opportunities, translating them into effective AI-driven solutions * Assess and select the most appropriate AI approach (Machine Learning, Deep Learning, Computer Vision, Generative AI, Agentic AI or hybrid solutions) for each business use case * Execute end-to-end AI projects, from discovery, experimentation and prototyping through to production deployment and business adoption * Design, integrate and deploy scalable AI solutions in enterprise environments * Support the first wave of business transformation initiatives within Finance, while building reusable AI assets and best practices that can be applied across other business domains * Ensure AI solutions meet performance, robustness, scalability, security and maintainability requirements * Deploy AI solutions into production environments and support model monitoring, retraining and lifecycle management * Adhere to architectural, security and AI governance standards defined by the Global AI Department * Continuously explore and evaluate emerging AI techniques, models and technologies, assessing their applicability within enterprise environments * Contribute to proofs of concept, technical evaluations and reusable delivery patterns * Share technical insights and recommendations with both business and technical stakeholders ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)