Intership On Human-Ai Systems For Logic And Code

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7clghz

Company
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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 ofAIMi, 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 aPython/FastAPIbackend usingLangGraphto 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 aSenior 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 aproduction-ready, complex agentic applicationwhile 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 inComputer ScienceorComputer Engineering(preferred).
Students inPhysics,Mathematics, or otherEngineeringbranches are welcome, provided they have a strong desire to learn solid programming paradigms andCI/CDon the job.
Benefits
Company Notebook.
Meal vouchers (€7).
Reimbursement for any project-related travel expenses.
xysqume
Exposure to a high-level international work environment.
#J-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7clghz