AI Security Research Internship: Toolchain Access & Rules

ELCA Informatique SA; Pully; Vor Ort; CHF 22.000 - 33.000; Vollzeit

Benefits dieser Stelle

Dynamic workplace internship

Hackathons

After-Works

Zusammenfassung

ELCA Informatique SA offers a six-month internship starting February 2027 in the Vaud region (Pully/Lausanne area) to research and design a toolset for secure tool integration in AI agents. You will formulate research questions, model tool interactions, and implement an analyzer with runtime monitoring.

Ideal candidates have Python skills, an interest in Generative AI, and a working knowledge of security concepts, plus fluent French and English.

Qualifikationen

• Interest in Large Language Models and Generative AI.
• Proficiency with Python and agentic technologies.
• Basic IT security concepts understanding.
• Ability to work autonomously on research problems.
• Strong written and spoken French and English.

Aufgaben

• Formulate the research questions: what can go wrong when tools are combined, which existing security models can be reused, and what is genuinely new.
• Define a model describing tools by what they read and write, the sensitivity of the data they reach, and how much their output can be trusted.
• Design a way to express rules over that model and refine them against realistic cases.
• Build an analyzer that accepts or rejects a set of tools before deployment, and allows, restricts or blocks tool calls at runtime.
• Add monitoring of tool calls with warnings, human escalation and an explainable trace.
• Test the approach on realistic setups and adversarial cases, measure security gained versus usefulness lost, and synthesize results in a report.

Kenntnisse

Python

Generative AI interest

French & English communication

Autonomy

Analytical thinking

Tools

LangChain

MCP

Jobbeschreibung

ELCA Informatique SA offers a six-month internship starting February 2027 in the Vaud region (Pully/Lausanne area) to research and design a toolset for secure tool integration in AI agents. You will formulate research questions, model tool interactions, and implement an analyzer with runtime monitoring.

Ideal candidates have Python skills, an interest in Generative AI, and a working knowledge of security concepts, plus fluent French and English.