Company
SDG Group
. We are a consulting firm specialized in AI, Data & Analytics. Business agility is the ability of an organization to adapt quickly to market changes, both internally and externally. This cannot exist without becoming a truly data-driven company. SDG Group achieves this by co-creating optimal solutions with its customers, leveraging Data & Analytics services through a unique combination of business domain expertise and state-of-the-art technologies delivered by industry-leading talent. We are pioneers in AI, Data & Analytics consulting, and we are committed to unlocking organizations' hidden potential by offering in-depth analytics expertise. SDG is a global company located in multiple countries with over **** employees and more than 700 customers.
Project Title
Implementing Human-in-the-Loop Agentic Systems for Automated Logic Discovery and Optimized Code Generation.
Project Description
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.
The Student's Role:
Working under the guidance of a
Senior Architect
, the student will 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).
This project offers a unique opportunity to learn how to develop a
production-ready, complex agentic application
while mastering modern data engineering and AI paradigms.
Location
Hybrid: Home office and SDG offices (Florence or Milan).
Proposed Deadline
May ****.
Company Tutor
Massimo Bruschi — ******
Plus the assigned Senior Architect for constant support.
Academic Tutor
To be defined.
Ideal Profiles
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.
Benefits
Company Notebook.
Meal vouchers (€7).
Reimbursement for any project-related travel expenses.
Exposure to a high-level international work environment.
#J-*****-Ljbffr

📌 Intership On Human-Ai Systems For Logic And Code (Milano)
🏢 Sdg Group
📍 Milano