We are looking for an

AI Engineer

to join a dynamic AI team within an international technology environment.
In this role, you will design, build, and deploy

LLM-powered applications, RAG pipelines, multi-agent systems, and scalable AI solutions

on AWS.
You will work at the intersection of

software engineering, AI engineering, data pipelines, and cloud deployment , contributing to real use cases across the group. This role is highly hands-on and focused on building intelligent systems that move from experimentation to production.
You will work closely with Data Scientists, Platform and DevOps Engineers, Data Engineers, domain experts, Product Managers, and the Tech Lead to move AI solutions from experimentation into production.
If you enjoy working with

LLMs, agents, RAG, vector databases, Python APIs, and AWS-native AI services , this could be a great fit.
What you’ll do

Design, build, and maintain

LLM-powered applications

and multi-agent systems primarily using

LangGraph

and

LangChain , alongside tools such as CrewAI or similar frameworks
Develop and optimise





RAG pipelines , including document ingestion, chunking strategies, embedding generation, retrieval logic, and vector search
Implement and manage vector databases such as

pgvector on Aurora, OpenSearch, Pinecone , or similar
Build and maintain data and ETL pipelines using

Apache Airflow, Prefect , or similar tools
Develop backend services and APIs in

Python / FastAPI

to serve AI models, RAG systems, and agent workflows
Deploy and manage AI workloads on

AWS

services such as

Bedrock, SageMaker, Lambda, S3, Aurora/RDS, EC2
Work with

Docker and Kubernetes

to containerise and orchestrate AI workloads
Design and execute evaluation frameworks for LLM outputs, including automated testing, LLM-as-judge approaches, and human-in-the-loop review
Work with LLM APIs and orchestration tools such as

AWS Bedrock, OpenAI API, Anthropic API , or similar
Apply prompt engineering and LLM evaluation methodolog

📌 AI Engineer (Madrid)
🏢 Capitole
📍 Madrid