AI Engineer / LLM Engineer

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About the role

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 methodologies, and assess when fine-tuning or other adaptation techniques are appropriate.





Collaborate with domain experts, Data Engineers, Product Managers, and the Tech Lead to turn business requirements into AI solutions

Participate in Scrum ceremonies and contribute to a collaborative Agile engineering culture

Stay up to date with the rapidly evolving AI/ML ecosystem and proactively propose new tools, improvements, and approaches

Support less experienced team members and share AI engineering best practices across the team.

Must Have

3–5 years of experience in Software Engineering, with at least 1–2 years focused on AI / ML Engineering

Strong proficiency in Python

Experience with AI/ML and LLM frameworks such as LangChain, LangGraph, Hugging Face, PyTorch, or similar

Hands-on experience building RAG systems, including embeddings, vector stores, semantic search, and hybrid search strategies

Experience working with LLM APIs such as AWS Bedrock, OpenAI API, Anthropic API, or similar

Solid understanding of prompt engineering, fine-tuning techniques, and LLM evaluation methodologies

Hands-on experience with AWS services such as EC2, S3, Lambda, Aurora/RDS, Bedrock, SageMaker

Experience with observability and evaluation platforms for LLMs such as Langfuse, Datadog LLM Observability, LangSmith

Experience with Docker and Kubernetes

Familiarity with data pipeline tools such as Apache Airflow, Prefect, or similar

Experience developing backend services or APIs, ideally with FastAPI

Proficiency with Git and software engineering best practices

Experience working in a Scrum Agile environment

Strong problem-solving, analytical thinking, communication, and teamwork skills

Fluent English

Nice to Have

Experience with multi-agent architectures and protocols such as A2A or MCP

Familiarity with MLOps practices: model versioning, experiment tracking, MLflow, Weights & Biases, and CI/CD for ML





Knowledge of graph databases or knowledge graphs for enhanced retrieval

Experience with CI/CD pipelines using tools such as GitHub Actions

Familiarity with Infrastructure as Code, especially Terraform

Experience with code quality and security tools such as SonarCloud, Snyk

Experience in aviation, travel, or large-scale digital environments

Spanish language skills are a plus

Hybrid model - 2 days onsite per week

Why join this project?

People first – diverse and inclusive culture in an international environment.

Build production-ready LLM applications, RAG systems, and agentic AI solutions

Work with cutting-edge AI technologies across the LLM, agents, vector search, and AWS ecosystem

Contribute to scalable engineering practices around AI applications, data pipelines, evaluation, and deployment

Gain hands-on exposure to AWS-native AI services such as Bedrock, SageMaker, Lambda, S3, and Aurora

Be part of a fast-moving AI environment where experimentation, ownership, and impact are highly valued

High team stability and collaborative culture.

€1200 per year training budget and continuous learning opportunities.

Adaptable compensation model.

Private health insurance and benefits package.

Flexible working hours and hybrid model.

Wellhub: fitness, wellness, and mental health support.

Football and paddle tennis teams sponsored by Capitole.

Team buildings, global events, and strong tech communities.

Want to know more about us? Click here and discover all the details.

Curious about our culture? Check out what people are saying about us on Glassdoor.

We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.

Ready for the challenge? Apply now and help build intelligent, scalable, production-ready AI solutions.

Empowering People, Unlocking Innovation.

Information Security Notice

The employee will have access to confidential information related to Capitole and the assigned project. xkdbapo

Compliance with internal security and information protection policies is mandatory.

📌 AI Engineer (Barcelona)
🏢 Capitole
📍 Barcelona