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.