Working Student – Data, Infrastructure & Integrations and/or AI/ML Application Development (m/f/d) (40-60%)
Core
Building the infrastructure, data layer, and AI applications for a consulting firm's structured AI platform.
Role type
Working Student (Data Infrastructure & Integrations OR AI/ML Application Development)
Builds
Azure-based AI systems, source connectors, sync engineering pipelines, relational/vector databases, MCP servers, and autonomous AI agents for consulting clients.
Domain
Consulting technology, AI Engineering, Cloud Infrastructure
Required skills
Python, Azure infrastructure, API integration, PostgreSQL, vector databases, MCP servers, DevOps (Git/GitHub), Docker, AI/LLM tooling, autonomous AI agents, AI-assisted development.
Preferred skills
Web development, frontend/UI building, container knowledge.
Responsibilities
Plan, develop, deploy, and operate AI systems on Azure; build source connectors against official APIs; implement sync engineering; develop and deploy MCP servers; create mock source servers and integration tests; develop novel tools and software for consulting; create autonomous AI agents and automations; use AI-assisted development daily.
Seniority
Working Student (40-60%)