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A leading company is seeking a Software Engineer for the AIXPERT project, focusing on enhancing AI systems' explainability and robustness. The role involves designing software solutions, developing core platform components, and engaging with stakeholders in a high-performance computing environment. Candidates should have a Master's degree in AI and solid programming skills, particularly in Python.
The mission of the Computer Science Department at the BSC is to influence how machines are built, programmed, and used: computer and system architecture, programming models and performance tools, resource management, Big Data, and artificial intelligence. The HPAI (High-Performance Artificial Intelligence) research group is part of the department and conducts research in AI, focusing on solutions, problems, and infrastructure related to High-Performance Computing. The group collaborates with researchers from various fields and industry partners, engaging in European and national projects. Its main research areas include large language models, agent systems, explainability, and ethics.
The post holder will work on AIXPERT, a European research project aimed at enhancing the explainability, robustness, and trustworthiness of AI systems, primarily those based on agents and agentic components.
The role combines machine learning, software engineering, and human-centered design. Responsibilities include assessing and developing tools, systems, and infrastructure for a platform utilizing large language models (LLMs), multi-agent systems, knowledge graphs, and retrieval-augmented generation (RAG).
The engineer will operate within a high-performance computing environment, access state-of-the-art systems, and collaborate with experts locally and internationally.