AI Engineer

IntellectEU

full-time

Posted on: 9/20/2025

Origin: • 🇪🇸 Spain

✨ AI Apply

Mid-LevelSenior

AWSAzureCloudGoogle Cloud Platform

About the role

Design, develop, and deploy AI models and solutions to address complex business and technical problems, handling every step of the end-to-end pipeline from data ingestion to monitoring
Contribute to establishing MLOps practices for model lifecycle management, monitoring, and retraining
Conduct feasibility studies, prototyping, and benchmarking of AI solutions
Optimize models for performance, scalability, cost efficiency, and compliance with data governance standards
Collaborate with data engineers and software developers to ensure seamless integration of AI models into production systems
Follow and propagate best practices for AI development, including code quality, reproducibility, and documentation
Provide technical guidance to adjacent roles within project teams (e.g. devops, QA’s, …)
Engage both in pre-sales calls with potential clients as well as in support calls with existing clients
Ensure responsible AI practices, including fairness, transparency, and explainability in model design and deployment

Master's or PhD degree in Computer Science, Mathematics, Physics, Data Science, Artificial Intelligence, Engineering, or a related field
5+ years of experience in AI/ML solution design, architecture, or leadership roles
Proven experience working with enterprise clients, including stakeholder management and relationship building
English proficiency at B2 level or higher
In-depth understanding of artificial intelligence and machine learning, including state-of-the-art algorithms, frameworks/tools (in particular for working with Large Language Models), best practices, and challenges in scaling AI
Experience deploying AI solutions in production environments at scale
Familiarity with integrating AI solutions into enterprise workflows, including automation, analytics, and decision support systems
Ability to follow and propagate best practices for AI development, including code quality, reproducibility, and documentation
Experience engaging in pre-sales calls with potential clients and support calls with existing clients
Soft skills: strategic thinking, strong negotiation skills, excellent communication
Nice to have: experience with machine learning pipelines and MLOps practices; experience with data engineering and cloud infrastructure (AWS, Azure, or GCP); knowledge of ethical AI principles and regulatory considerations