AI Software Engineer
Pubblicato il 17-08-2026 - Altro in Cologno Monzese
TXT InfraWise is an innovative startup and spin-off of Politecnico di Milano, as well as part of the TXT Group, specializing in the development of advanced solutions for monitoring and managing critical infrastructures such as bridges, viaducts, and tunnels. Through proprietary IoT/OT platforms, advanced algorithms, and AI-native technologies, the company develops predictive systems for real-time analysis of the structural health of civil infrastructures, transforming academic research into practical solutions that enhance safety and territorial resilience. Positions
AI Software Engineer – Advanced and AI Software Engineer – Professional
Responsibilities
AI Software Engineer – Advanced
Participate in the technical definition and implementation of solutions, ensuring code quality, security, and scalability;
Develop backend and frontend components and services, with a focus on reusability and long-term maintainability;
Collaborate with AI/ML Engineers and Data Scientists to industrialize AI solutions;
Manage deployments, logging, monitoring, and application maintenance.
AI Software Engineer – Professional: Additional Responsibilities
Support junior colleagues in their technical growth and ensure compliance with architectural guidelines defined by the Solution Architect;
Apply and promote DevOps and Lean practices, contributing to the standardization and automation of development processes;
Collaborate with analysts and business stakeholders to refine requirements and translate them into effective application solutions.
Required Technical Skills: AI Software Engineer – Advanced
Good knowledge of Python and JavaScript/TypeScript programming languages;
Knowledge of Go is considered a plus;
Good understanding of modern development environments, version control systems (Git), and CI/CD pipelines;
Understanding of the fundamental principles of AI/ML and model integration;
Knowledge of REST APIs, microservices, and cloud-native architectures;
Ability to work effectively in a