Generative AI Engineer
Hace 4 días
Madrid Community of Madrid, MD, España
Capitole
Trabajo remoto
Jornada completa
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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 (flexible) 📈 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.
• 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 (flexible) 📈 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.