AI Application Development Intern

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Req #

WD00105130

Career area:

Hardware Engineering

Country/Region:

Italy

State:

Milano

City:

San Felice Segrate

Date:

Wednesday, September 23, 2026

Working time:

Full-time

Additional Locations
:

* Italy - Milano

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Are you excited about turning AI ideas into practical business solutions? In this internship, you will work directly with senior leaders to rapidly explore, prototype, and deliver focused AI, automation, and data solutions that address real business needs. You'll gain hands-on experience with modern AI technologies while building tools that create measurable impact across the organization. This is a highly practical role focused on delivering usable solutions quickly, learning through execution, and collaborating within a small delivery pod.

What You Will Do

Partner
with senior leaders
to understand business challenges
, clarify
requirements
, and define
realistic solution

scopes
.

Prototype
and
deliver
lightweight AI applications, automation tools, dashboards, scripts, and internal productivity solutions.

Build solutions
using modern AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and AI-assisted development tools.

Extract, process, and analyze structured and unstructured
data to support business decision-making
.

Apply
company
security
,
confidentiality
, and
data-handling requirements
throughout the development lifecycle.

Iterate
quickly based on stakeholder feedback and continuously
improve delivered solutions
.

Create
concise
technical documentation
, handover
notes
, and usage
guidance
to support future maintenance and scalability.

Opportunity to
collaborate with

global stakeholders
, with occasional meetings scheduled outside standard local business hours to support
different time zones
.

Requirements:

Currently
pursuing a degree
in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field.

Programming experience
in Python or another general-purpose language; JavaScript or TypeScript is a plus.

Experience building at least one software, AI, or data-related project through coursework, personal projects, research, hackathons, open-source contributions, or internships.

Familiarity with
APIs
, version-control tools such as
Git
, and working with data.

Understanding of
AI application concepts
, such as prompt engineering, structured outputs, AI agents, or RAG.

Strong analytical, problem-solving,
and
communication skills
, with the ability to explain technical concepts to non-technical audiences.

Ability to manage well-defined assignments
independently
, communicate blockers proactively, and seek guidance when needed.

Professional working
proficiency
in
English
.

Preferred Qualifications:

Experience with lightweight
application frameworks
such as Streamlit, Gradio, Flask, FastAPI, React, or Next.js.

Exposure to enterprise-approved
LLM platforms
,
AI SDKs
, or
orchestration frameworks
.

Familiarity with retrieval-augmented generation
(
RAG
)
, embeddings, semantic search, vector databases, tool calling, or agentic workflows.

Hands-on experience
working with large datasets
using standard data manipulation tool such as SQL, CSV data processing, pandas, Spark, R, PowerBI, or basic data visualization.

Exposure to Microsoft 365, Microsoft Graph, Power Platform, Google Workspace, or related enterprise APIs.

Familiarity with
workflow-automation platforms
such as Power Automate, n8n, or Retool.

Basic understanding of cloud services, containers, application deployment, authentication, and access control.

Experience
evaluating AI outputs
for accuracy, consistency, groundedness, or other quality measures.

What We Offer:

Opportunities for career development & growth

Performance based rewards

Hybrid working model (home office/office)

Up to 3 paid Personal Days annually

Additional vacation days

100% sick leave compensation up to 2 months per year

A broad selection of soft / hard skills trainings and individual mentoring

Employer contribution to the Third Pillar Pension System

Life & life events insurance, fully covered by company

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations
:

* Italy - Milano

* Italy

* Italy - Milano

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