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AI Engineer

Pubblicato il 06-10-2026 - ForeSound in Milano

At ForeSound, we're building the intelligence layer of the music industry: clear signals on where sound is heading next, before anyone else sees them.

We read the communities where culture forms, detect emerging genres, artists, and scenes, and forecast what will break months before it shows in the charts. Built on deep music expertise and advanced forecasting technology, we're shaping a new category of intelligence for the music industry.

Under the hood, ForeSound runs on data pipelines that collect billions of data-points from social platforms, extraction that turns them into structured signals (artists, genres, cultural themes), and forecasting and recommendation systems that surface what is about to grow.

Our first pilots are already running with some of the biggest labels in the world, and we're backed by a team and an advisory board of senior leaders who have shaped the music industry at its highest level.

Why ForeSound?

- Shape a New Category. Build the product that gives the biggest players in music the ability to see what comes next. Nothing like it exists today.
- Work with the Best. Senior leaders and advisors who have run the industry from the inside, and label partners among the largest in the world.
- Own It. You will be one of our first engineers, working side by side with our Head of Product and our CEO to shape the ForeSound product from the ground up.
- Build AI-First. Most of our code, research, and operations already run on AI tools. You will push that further, not catch up with it.

What You'll Do

- Shape and build the ForeSound product with the Head of Product and the CEO, from what label partners need to what ships. • Work independently and take on end-to-end projects, from design to delivery.
- Contribute to the development, documentation, and maintenance of the platform and its underlying components.
- Put LLM's to work on real data, turning millions of cultural signals into intelligence, with attention to quality and cost.
- Make sure the system can be trusted:



build the evaluation and quality checks to iterate and constantly improve our models.

What You'll Bring

- Deep expertise with AI: you use AI tools every day, for coding (Claude Code or similar), research, and your own workflows, and you have clear opinions on what works.
- 3 to 5 years of experience building software products that run in production: Python on the back end, React on the front end or at least a solid understanding of it.
- Hands-on experience with LLMs on real data, including how to evaluate their output and review AI-generated code critically.
- Experience with data pipelines and cloud infrastructure at scale.
- Independence: you take a project end to end, deciding what to build with the people who need it, then building it.
- Excitement about shaping a new category in the music industry from the inside.
- Prior back-end experience is a plus.
- Previous experience in Music Tech is a plus.

What Sets Us Apart A Team That Has Done It Before. Founders, a Head of Cultural Intelligence, and advisors who have led the music industry at the highest level. Small, focused, and with a direct line to both founders.

Growth That Matters. Impact is defined by ownership and execution, not by title. As one of our first engineers, you will help shape the technical direction of the company.

Rewarding Your Contribution

- Compensation: €45K–€60K annual equivalent, based on experience.
- For the right profile, the opportunity to join our stock option plan.

How We Work

- Full-time collaboration (contract-based).
- Location: Milan, where our founding team is based. Hybrid, with flexibility to work remotely.
- AI-native workflow, light process, a lot of ownership.

We're not just building a product; we're setting a new standard for how the music industry sees what comes next. If you're ready to build something lasting, we'd love to hear from you.

ForeSound is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal-opportunity workplace and will evaluate qualified applicants regardless of nationality, race, religious creed, color, age, sex, sexual orientation, and gender.

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