AI Engineer
Frontiers
full-time
Posted on:
Location Type: Hybrid
Location: Madrid • 🇪🇸 Spain
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL
About the role
- Contribute defining comprehensive, scalable AI architectures, and to develop complex integration of data processing, traditional machine learning, and emerging LLM methodologies.
- Support deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts.
- Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions.
- Adopt and promote quality and excellence, contributing to documentation and knowledge-sharing.
- Contribute to troubleshooting and complex problem-solving efforts, ensuring robust and reliable ML systems and LLM deployments.
Requirements
- Typically 3–5+ years of professional AI experience, demonstrating a successful track record of developing and deploying enterprise-scale AI systems.
- Strong proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes).
- Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow).
- Exceptional communication, with expertise communicating complex technical concepts clearly across all stakeholder levels.
- Proven problem-solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques.
Benefits
- 4 additional wellbeing days in addition to existing annual leave allowance
- Access to learning platforms and dedicated learning & development time
- A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan
- Employees can dedicate three days each year to volunteer
- Additional benefits depending on your location (e.g. pension plan and private medical care)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI architecturemachine learningLLM methodologiesML pipelinesPythonSQLperformance optimizationfine-tuningprompt engineeringproduction ML frameworks
Soft skills
communicationproblem-solvingadaptabilitycollaborationknowledge-sharingtroubleshootingorganizational alignmentstakeholder engagementquality assuranceexcellence