? AI Engineer | Generative AI & Agentic AI

Are you looking to grow your career in AI Engineering while working with cutting-edge Generative AI technologies and real-world business challenges?

We’re looking for a mid-level AI Engineer to join a leading automotive company and contribute to the development of AI-powered solutions across different business units. You’ll work closely with Senior Engineers on innovative proof of concepts (PoCs), building and integrating AI solutions in cloud environments using AWS and/or Azure.

? What you’ll do

• Develop AI-powered solutions using LLMs, Generative AI and RAG architectures
• Build components for enterprise assistants, copilots and conversational AI applications
• Implement Agentic AI workflows to automate business processes
• Develop and integrate AI components using Python and APIs
• Work with cloud AI services across AWS and/or Azure
• Support the deployment, testing and monitoring of AI solutions
• Contribute to CI/CD and MLOps practices




• Collaborate with Senior Engineers and cross-functional teams to explore new technologies and evaluate PoCs

? What we’re looking for

• 2–4 years of experience in AI/ML Engineering or a related technical role
• Hands-on experience with Generative AI, LLMs and RAG
• Knowledge of Agentic AI frameworks, such as LangGraph, Google ADK, LangChain or similar
• Strong working knowledge of Python and experience developing and integrating APIs
• Experience working with LLMs such as OpenAI, Claude, Gemini or equivalent
• At least 1 year of experience with AWS and/or Azure
• Familiarity with CI/CD, AI deployment and monitoring practices
• Understanding of solution architecture and how AI components integrate with APIs, data and cloud infrastructure
• Ability to work autonomously while collaborating with Senior Engineers
• Curiosity, adaptability and a proactive approach to experimentation and continuous learning
• Good communication and teamwork skills
• English B2/C1
• German is a plus

✨ Ni

📌 Generative AI Engineer (Madrid)
🏢 Capitole
📍 Madrid