Company Description Autoinvest explores the future of finance through Artificial Intelligence, digital assets, and autonomous investment systems. The organization connects cutting-edge AI research with real-world financial applications to help investors, researchers, and businesses understand how intelligent technologies are reshaping capital markets. Its work spans AI and machine learning for finance, autonomous investment decision-making, quantitative trading, and digital asset innovation.

Autoinvest also focuses on financial data analytics, predictive modeling, intelligent financial agents, and market research into emerging technologies. The team is committed to building financial systems that are intelligent, autonomous, transparent, and data-driven through ongoing research, analysis, education, and innovation.

Role Description As an AI Engineer at Autoinvest, you will design, implement, and optimize machine learning models and intelligent agents for financial applications. You will work on tasks such as building and training neural networks, developing pattern recognition systems for market signals, and implementing NLP models to analyze financial text and news. Day-to-day responsibilities include collaborating with researchers and developers to turn prototypes into production-ready software, integrating models into autonomous investment and trading systems, and evaluating performance using real-world financial data.

You will also participate in code reviews,



maintain high-quality engineering standards, and contribute to architectural decisions for scalable AI infrastructure. This is a full-time hybrid role based in Turin, with a mix of on-site collaboration and flexible work-from-home arrangements.

Qualifications

Strong foundation in Computer Science and Software Development, including data structures, algorithms, version control, and software engineering best practices.

Hands-on experience with Neural Networks and Pattern Recognition, preferably applied to time-series, market data, or other quantitative financial signals.

Knowledge of Natural Language Processing (NLP) techniques and frameworks for analyzing financial text, news, and research content.

Proficiency in programming languages commonly used in AI (such as Python) and libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

Experience working with large datasets, data pipelines, and model evaluation metrics; familiarity with cloud or distributed computing is beneficial.

Background or strong interest in finance, quantitative trading, digital assets, or financial data analytics is highly desirable.

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.

Ability to work collaboratively in a hybrid environment in Turin, communicate clearly with cross-functional partners, and adapt to a fast-evolving technology landscape.

📌 AI Engineer (Torino)
🏢 Autoinvest
📍 Torino