AI Engineering Jobs in Spain
There are 334 open AI Engineering jobs in Spain on freehire right now. 102 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €32,500 | €32,500 | €58,750 | 15 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 84%
- python 65%
- llm 49%
- cloud 48%
- api 46%
- agentic-ai 35%
- machine-learning 34%
- ci-cd 33%
How the work is done
- Hybrid 67 · 20%
- Remote 34 · 10%
- Onsite 6 · 2%
Visa sponsorship offered in 52% of the 33 postings that state a position on it.
Seniority
- Senior 97
- Lead 27
- Junior 14
- Staff 7
- Intern 4
- Middle 3
Who is hiring
- 1000+ employees 61
- 501-1000 employees 26
- 51-200 employees 11
- 11-50 employees 3
- 201-500 employees 3
DATA / AI ENGINEER
Build and deploy generative AI solutions, agents, and data pipelines to automate business processes and extract insights from unstructured data using Python, cloud platforms, and LLMs.
Senior Data & AI Engineer — Cloud-Native Pipelines
Designs and deploys cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Lead Data & AI Engineer — Cloud Data Architect
Designs and builds cloud-native data pipelines and AI systems for Schneider Electric’s sustainability and energy-management platforms.
Lead Data & AI Engineer (GCP, ELT Pipelines, BigQuery)
Lead a team to build and optimize ELT pipelines on GCP using BigQuery, Dataform, and Cloud Workflows, ensuring scalable, high-quality data flows with Python and CI/CD.
Data Ops Engineer + GenAI
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Hybrid Data & AI Engineer: Pipelines & Databricks
Build and maintain data pipelines and AI solutions on Databricks to turn raw data into strategic insights for clients.
AI Engineer: Scalable ML & Data Pipelines
Design and implement scalable AI/ML models and data pipelines to solve enterprise challenges, ensuring performance and governance while mentoring junior engineers.
AI Engineer – GCP Migrations & Cloud DevOps (Madrid Hybrid)
Build and deploy AI agents on GCP to automate cloud migrations and refactor 200+ retail apps; work hybrid in Madrid.
GenAI DevOps Engineer — Cloud Infra, CI/CD & AI Tools
Builds and maintains cloud infrastructure for AI and data science apps in pharma, including CI/CD pipelines and security, using AWS/GCP/Azure and Kubernetes.
Senior DevOps AI Engineer – AWS, Kubernetes & MLOps
Designs and operates cloud infrastructure for AI solutions on AWS and Kubernetes, automating deployments with Terraform and collaborating with data science teams.
Devops AI Engineer
Build and run the cloud platform that powers the company’s AI services on AWS and Kubernetes, automating deployments with Terraform and CI/CD while supporting MLOps workflows like SageMaker, MLflow, Airflow and Kubeflow.
AI Developer: Generative AI & Python Backend (Flexible Hours)
Builds generative-AI and scalable Python backends for international projects, focusing on intelligent automation and AI-driven solutions.
Senior Backend Web Developer (GenAI Multi-Cloud Platform)
Builds backend services for a GenAI multi-cloud platform using Node.js and Azure, collaborating in an international team.
Lead AI Product Engineer
Lead AI Product Engineer builds and deploys internal AI tools (chatbots, agents, RAG) to automate operational workflows at a global live-entertainment platform, splitting time between stakeholder discovery and hands-on Python/LLM engineering.
AI Engineer Senior
Senior AI Engineer building GenAI applications with LLMs, RAG, agents, and semantic search in Python, integrating models via APIs and deploying backend services.
Senior AI Automation Engineer
Design and deploy AI agents and LLM-powered workflows to automate business processes using Python, Java, n8n, and Make, improving efficiency and reducing manual tasks.
Applied AI Engineer
Build and deploy customer-facing AI features using RAG, agentic workflows, and LLM pipelines for a European fintech company in spend management.
AI Automation Engineer
Build AI-powered automation tools (agents, LLMs, MCP integrations) to speed up software development tasks like coding, testing, and documentation.