Forward-Deployed AI Engineer - Internship

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READ THIS FIRST 
This is a 6-month paid internship in our AI Lab in Milan.
It is designed to lead to a permanent, full-time role as a Forward-Deployed AI Engineer, so we only offer it to people who can join us full-time as soon as it ends.
It's for you if you:
- are in the final year of a Bachelor's degree, or
- are in the final year of a Master's degree, or
- completed a Bachelor's degree in the last 12 months, or
- completed a Master's degree in the last 12 months.
It's not for you if you:
- are in an earlier year of your degree, or
- plan to continue your studies after the internship

About Us 
We are an AI startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy. Our expertise spans Machine Learning and Generative AI for Financial Services.
At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.
We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under the client's control.

Our Team 
· Forward-Deployed Engineers: 20 people, including 4 Ph.D.s
· Leadership: 4 people
We are a lean, technical-first team, and we're growing.
We plan to add 10 new Forward-Deployed AI Engineers in the next 6 months. 

The Role 
A forward-deployed engineer works directly with the client and owns the solution end to end: from understanding the business problem, to choosing and building the right model, to shipping and running it in production. There's no handoff chain. The same engineer who hears the problem delivers the answer.
In practice, the role combines three disciplines:
· Business Analysis: understanding how a financial institution works, mapping its processes, and turning a vague request into a clear specification.
· AI Engineering: building, evaluating and improving models, from classic prediction models to fine-tuned LLMs, and AI Ops.
· Software Engineering: building the APIs, integrations and applications that put models into real workflows, then deploying and maintaining them.
Nobody arrives strong in all three. We hire people who are solid in at least one and eager to grow into the others.

Who You Are 
- You enjoy understanding why something needs to be built, and you take ownership of outcomes the client can measure, not just tasks
- You're comfortable…

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