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The candidate will join the development team of AIMi, a modular framework that utilizes a multi-agent generative AI system to streamline the end-to-end (E2E) migration of legacy code to modern platforms. Technical Context: The platform is built on a Python/FastAPI backend using LangGraph to manage interconnected agents via a graph-based workflow. It employs a "Human-in-the-Loop" approach to ensure expert supervision during the discovery and generation phases. The system architecture is designed to be model-agnostic, integrating with LLMs such as Google Gemini, OpenAI, and Claude.
Job Responsibility:
Contribute to the design and implementation of new specialized agents, specifically focusing on: Discovery Agents: Tasked with tracing functional dependencies and analyzing the logic of existing legacy systems (e.g., SAS)
Conversion/Generation Agents: Responsible for translating business logic into "Functional Recipes" and subsequently into optimized target code (e.g., dbt models)
Requirements:
Graduating students in Computer Science or Computer Engineering (preferred)
Students in Physics, Mathematics, or other Engineering branches are welcome, provided they have a strong desire to learn solid programming paradigms and CI/CD on the job
What we offer:
Company Notebook
Meal vouchers (€7)
Reimbursement for any project-related travel expenses
Exposure to a high-level international work environment