<p><strong>Mission Brief </strong></p> <p>Isar Aerospace is building the launch company Europe needs: fast, vertically integrated, technically ambitious, and execution-driven.
</p> <p>We are currently building up our internal AI stack, including a self-managed inference endpoint for deploying open-source models on virtual machines.
We are looking for a technically curious working student who can help operate and continuously improve this setup while staying close to the newest models, tools, and agentic best practices.
</p> <p>This is a hands-on role for someone who enjoys making AI systems work reliably, exploring new capabilities, and identifying practical opportunities to automate engineering and business workflows.
</p> <p> </p> <p>Your Role in Our Space Mission: </p> <p>Help keep Isar Aerospace's internal AI stack current, reliable, and useful, while exploring tools and workflows that make modern AI accessible to teams across the company.
</p> <p><strong>Support with operation and maintaining the AI Stack</strong></p> <ul> <li>Support with the maintenance of the self-managed inference environment used to deploy open-source AI models.
</li> <li>Update and test deployed models, Docker images, and supporting services.
</li> <li>Configure and maintain the model gateway, including model routing and endpoint settings.
</li> <li>Support integrations through REST APIs, MCP servers, and related interfaces.
</li> </ul> <p><strong>Evaluate models and tools</strong></p> <ul> <li>Track relevant developments in open-source models, inference tooling, and agentic workflows.
</li> <li>Run practical evaluations and recommend changes based on quality, usability, reliability, and resource.
Client tools and automation (optional)