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# AI Engineer (Generative AI & LLMs)

- **Company:** Capitole-sponsored Football
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Computer Programming, Information Retrieval, Python (Programming Language), Scrum Methodology, Cloud Services, Software Engineering, Large Language Models, Generative AI, Backend, Fastapi, Data Pipelines, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.jobleads.com/es/job/ed065225f146943a7a3805737b4f5ea30

## 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.

## Description

* Design, develop, and maintain LLM-powered applications and multi-agent AI systems.
 * Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, and semantic search.
 * Implement and manage vector databases to enable efficient AI-powered information retrieval.
 * Develop scalable backend services and APIs using Python and FastAPI.
 * Build and maintain data pipelines using tools such as Apache Airflow.
 * Deploy and manage AI workloads on AWS using 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.


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