Applied AI Engineer

At DeepTree, we're building the world's best M&A analyst: an AI that makes financial decisions sharper, faster, and more reliable.

We work with more than one hundred high-profile investment banks and private equity funds, where the margin for error is zero. That responsibility sets our standard: fast, but above all accurate and high-quality. It shapes our pace and how we work.

We're a small team of top-tier engineers, and we're looking for the next great one. Expectations are high, and growth is tied directly to impact.

What you'll do

• Design, build, and deploy custom AI agents that handle M&A tasks with the precision of a world-class analyst
• Architect the systems around those agents: orchestration, data pipelines, evaluation, and the infrastructure that keeps them reliable at scale
• Work across the full stack: from researching state-of-the-art algorithms and techniques to shipping them to production
• Turn ambiguous, real-world financial problems into concrete technical solutions, alongside a team that learns fast and iterates faster

What we look for

We care about skill, not years of experience. What matters is real passion for AI and the drive to learn quickly, build fast, and improve constantly.

You're comfortable with ambiguity, motivated by hard problems, and focused on systems that work in production. You pair meticulous precision with creative problem-solving.

Ideally you've explored software engineering and AI agent orchestration (e.g. LangChain, LangGraph), through work, study, or personal projects.

No specific background required if your skills and mindset are strong.

Compensation & growth

• €45k–€65k based on skill and potential, growing with the company
• Stock options available – choose the mix that works for you
• Direct impact on top-tier financial decisions from day one
• Milan office, one remote day per week, with flexibility when needed

Selection process

Lean and thoughtful: 2-3 conversations covering your background and motivations, problem-solving exercises, and a few short AI coding challenges.

If you want to apply AI to real, high-stakes financial problems with a team that values talent, trust, and speed, we'd love to hear from you.