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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Engineer (Generative Ai & Llms) - **Company:** Capitole - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Automation of Tests, Computer Programming, Databases, Information Retrieval, Python (Programming Language), Scrum Methodology, Cloud Services, Software Engineering, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Fastapi, Data Pipelines, Docker - **Published:** August 5, 2026 - **Apply:** https://www.buscojobs.com.es/ai-engineer-generative-ai-llms-en-madrid-ID-365531706 ## About the Role 3-5+ years of experience in Software Engineering , with at least 1-2 years focused on AI/ML or Generative AI . Strong programming skills in Python . Hands?on experience building LLM-based applications using frameworks such as LangChain, LangGraph, CrewAI or similar. Solid experience designing and implementing RAG architectures . Experience working with LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar. Knowledge of vector databases (Pinecone, OpenSearch, pgvector, or equivalent). Experience with AWS Cloud services . Experience with Docker and Kubernetes . Familiarity with data orchestration tools such as Apache Airflow . Experience working in Scrum/Agile environments. Strong communication, analytical, and problem?solving skills. Security Policies Will have access to confidential information related to the company and the project. Must comply with the security policies and internal policies of the company and its clients. ## Description Capitole continues to grow and offers a role as an AI Engineer focused on generative AI applications for a leading international airline group.What you'll be doingDesign, develop, and maintainLLM-powered applicationsandmulti-agent AI systems .Build and optimizeRetrieval-Augmented Generation (RAG)pipelines, including document ingestion, chunking, embeddings, and semantic search.Implement and managevector databasesto enable efficient AI-powered information retrieval.Develop scalable backend services and APIs usingPythonandFastAPI .Build and maintain data pipelines using tools such as Apache Airflow.Deploy and manage AI workloads onAWSusing services such as Bedrock, SageMaker, Lambda, S3, and Aurora.Evaluate and improve LLM performance through automated testing and human-in-the-loop validation.Collaborate closely with Product Managers, Data Engineers, and business stakeholders to deliver innovative AI solutions.Mentor junior engineers and contribute to AI engineering best practices.Stay up to date with the latest trends in Generative AI and continuously explore new technologies.What we're looking for3-5+ years of experience inSoftware Engineering , with at least 1-2 years focused onAI/ML or Generative AI .Strong programming skills inPython .Hands?on experience buildingLLM-based applicationsusing frameworks such asLangChain, LangGraph, CrewAIor similar.Solid experience designing and implementingRAG architectures .Experience working withLLM APIssuch as OpenAI, AWS Bedrock, Anthropic, or similar.Knowledge ofvector databases(Pinecone, OpenSearch, pgvector, or equivalent).Experience withAWS Cloud services .Experience withDockerandKubernetes .Familiarity with data orchestration tools such asApache Airflow .Experience working inScrum/Agileenvironments.Strong communication, analytical, and problem?solving skills.Security PoliciesWill have access to confidential information related to the company and the project.Must comply with the security policies and internal policies of the company and its clients.€1,200 per year for training of your choice.Flexible working hours.More than 550 qualified professionals representing up to 24 nationalities.Capitole-sponsored football team.Technology communities where you can share your knowledge and ideas with other teams.Sharing knowledge across the company is essential to us!/#J-*****-Ljbffr ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## 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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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)