AI Engineer

Sni

Madrid, Spain

4 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience required

2 years minimum

Working hours

Regular working hours

Job source

eurojobs.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Cloud Computing Databases Continuous Integration DevOps Distributed Systems Python (Programming Language) Machine Learning Large Language Models

+6 more

Software Security Git Deployment Automation Machine Learning Operations Jenkins Microservices

Job description

Design, develop, and support AI/ML solutions and distributed applications
Work with LLM architectures and AI-driven services in cloud-based environments
Develop and maintain Python-based applications, APIs, and microservices
Support integration, deployment, and optimization of AI/ML workflows
Collaborate with engineering and DevOps teams to ensure scalable and secure application delivery
Participate in CI/CD processes and DevOps practices for automated deployments

Requirements

Minimum 2 years of hands-on experience with Python development
Good understanding of AI/ML concepts, LLM architectures, and distributed computing
Experience with microservices development and management
Knowledge of CI/CD and DevOps tools such as Git and Jenkins
Understanding of application security best practices
Familiarity with public cloud platforms, preferably AWS
Knowledge of vector and columnar databases
Understanding of Agile methodologies and collaborative development practices
AWS and/or DevOps certifications are considered a strong advantage

About the company

Home Find Jobs Companies Post Resumes Post Jobs Blog, SNI is serving as a trusted IT Outsourcing partner in line with the needs of Worlds most prestigious firms and carried out successful projects worldwide

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum · WWC Europe 2026

1:02 min

Applying an ETL methodology to infrastructure configuration management

Axel Barbier · WWC 2023

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle +1 · Coffee With Developers

4:35 min

Learning resources and community engagement for AI engineers

Alfonso Graziano · Coffee With Developers

Videos

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Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail