A BSc/MSc (or equivalent) in a technical field and strong software engineering experience (Python required; familiarity with C++, JavaScript, Bash a plus). * Hands-on experience with ML/AI tooling (for example PyTorch, LangChain/LangGraph, vLLM, RAG/MCP) and model training/inference workflows. * Proven experience building scalable, high-performance systems (cloud-native technologies such as Docker, Kubernetes, Helm) and working with CI/CD, Git and UNIX-based workflows. * Strong communication and team leadership skills, ability to explain complex concepts clearly, and experience working in agile/Scrum environments. * Curiosity, flexibility and a results-oriented mindset; deep knowledge of agentic AI architectures and experience running complex AI projects is a strong plus.
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