🧠 What we look for

We're hiring for September a Full-Stack Developer who is highly skilled in Python, Node.js, and TypeScript, with experience (or strong interest) in data crawling and Machine Learning.

This is a hybrid role: while your main responsibilities will revolve around backend development, you'll play a key part in improving and evolving our ML algorithms, and improving our systems for data scraping and processing.

🙌 About You

• You have real-world experience with data scraping or ML projects (personal, freelance, or commercial).
• You're curious, self-driven, and love solving complex problems.
• You thrive in a collaborative team, but are also confident working independently.

🎯 Responsibility

• Develop and maintain robust backend services
• Optimize and expand existing Machine Learning models
• Build scalable data crawling and extraction tools
• Collaborate with the team to design intelligent data workflows
• Write clean, well-documented, and testable code

🛠️ Skills

Required:

• You have a technical background: a Bachelor's or Master's degree in Computer Science or a related engineering/technical field.
• Strong expertise in Python
• Solid experience with Node.js and TypeScript
• Hands-on experience with web scraping / data crawling
• Ability to design or improve Machine Learning algorithms
• Good understanding of AI and AI agents, including practical experience using models such as OpenAI (GPT), LLaMA, Claude, or Gemini — you know their strengths, limits, and ideal use cases.

Nice to have:

• Basic knowledge of AWS
• Familiarity with Docker and Redis
• Experience with NoSQL databases (MongoDB)

😄 Compensation

• €25,000–€35,000 gross annual salary (RAL)
• Stock options. Granted at this early stage, you can be very rich in the future.
• Hybrid Mode: we have an office in Turin, you can do smart working 1/2 days a week. Full remote for exceptional circumstances.
• You’ll witness a startup being built from scratch: in 6 months, you’ll see and learn things here that might take years elsewhere.

🧭Selection Process

We keep our hiring process simple, respectful of your time, and focused on truly getting to know you:

1. Introductory Call – A relaxed first conversation to get to know each other and answer your initial questions.
2. Experience Deep-Dive – A chronological interview where we’ll explore your past roles, decisions, and learnings in depth.
3. Technical Assessment – Our CTO will send you a short take-home exercise. You’ll then discuss your solution together in a technical call.
4. Cultural Fit Interview – A final chat with members of our founding team to make sure we align on mindset, values, and ambitions.

> We aim to move fast — typically within 6 weeks from first call to final decision.