AI Engineer (Europe)

📋 Description

• Own architecture and delivery of production-grade LLM systems and classical ML solutions.
• Design, evaluate, and optimize RAG pipelines.
• Build scalable LLM services and agentic workflows.
• Architect and optimize distributed GenAI/ML workloads on Databricks.
• Productionize systems with CI/CD, monitoring, rollback, and versioning.
• Independently design AI solutions for client problems and lead decisions.

🎯 Requirements

• 5+ years in Data Science or a related field.
• Proven experience delivering LLM-based systems to production; plus classical ML projects.
• Strong hands-on with RAG, agents, and open-source LLMs.
• Deep understanding of system-level trade-offs and production optimization.
• Strong Python and SQL skills; Databricks and Spark experience.
• Experience deploying scalable ML/LLM systems on AWS, Azure, or GCP.

🎁 Benefits

• International projects with clients and partners worldwide.
• Advanced technologies and cutting-edge tools.
• Mentoring from day one and ongoing learning opportunities.
• Supportive, empowering culture with a focus on work-life balance.