Support the development and improvement of engineering infrastructure for a novel agentic AI system, including implementing task-specific agents and workflow orchestration.
Improve and scale agent infrastructure for LLM evaluations, logging and analysis of agent workflow components.
Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in agentic AI.
Support technical experiments that conduct evaluations of LLMs and AI agents with engineering infrastructure.
Contribute to influential research outcomes in top-tier conferences and journals.
Be self-motivated and capable of proposing and implementing innovative ideas.

Completed or currently pursuing a Masters degree in Computer Science, Electrical Engineering or related Sciences.
A strong background in software engineering and an interest in agentic AI.
Prior hands-on experience with agentic AI as demonstrated through projects is strongly preferred.
Familiarity with and interest in AI ethics and responsible AI development.
Proficient in programming in Python and contributing to collaborative software development (version control, git workflows).
Familiar with AI and machine learning fundamentals.
Experience with LLM tooling and frameworks (in particular LangChain and Ollama), API integration and prompt engineering.
Additional knowledge in one or more of the following areas is preferred: NLP, task automation through scripting, frontend development and cloud computing.
Strong research, analytical, and problem-solving skills.
Excellent written and verbal communication skills in English.

Engineering Intern, AI Ethics

Key skills