? 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

✨ Nice to have

• Experience with MCP (Model Context Protocol) and vector databases

- Knowledge of ML frameworks such as PyTorch, TensorFlow or Hugging Face
- Familiarity with AWS Bedrock, SageMaker or Azure OpenAI
- Experience with Docker, Kubernetes or MLOps tools
- A degree in Computer Science, AI, Data Science or a related technical field
- Cloud or AI certifications

? Generative AI & Agentic AI

☁️ AWS / Azure cloud environments

? Innovation, experimentation and PoCs

? Contract directly with end client

? Hybrid working mode (versátil)

? Technical growth and increasing ownership

If you’re passionate about Generative AI and want to build practical AI solutions while learning from experienced engineers, we’d love to hear from you.

? Apply now or get in touch to learn more.

📌 Generative AI Engineer (Madrid)
🏢 Capitole
📍 Madrid