familiarity with multi-agent systems or agentic frameworks (e.g. LangGraph, AutoGen, CrewAI), including aspects of agent safety, controllability, and human-in-the-loop approaches - o strong programming skills in Python and experience with machine learning frameworks, ideally complemented by knowledge of reinforcement learning (e.g. RL, RLHF, policy optimization) o experience in evaluating agentic systems using relevant frameworks or benchmarks, ideally complemented by contributions to scientific publications
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