GEN AI ENGINEER
Pubblicato il 26-08-2026 - Kirey in Firenze
Your New Company Kirey is one of the leading European groups specializing in technology consulting and system integration, with a distinctive positioning in data-driven innovation. Through a comprehensive portfolio of solutions—including Data & AI, Cloud, Software Development, Cybersecurity, Infrastructure & Automation, and Monitoring—Kirey transforms data complexity into intuitive and accessible solutions, enabling its clients to achieve their business objectives. Headquartered in Italy, with a solid international presence and nearly 1,500 employees, Kirey has delivered more than 10,000 projects for leading clients across industries such as Insurance, Banking, Manufacturing, Retail, Public Administration, and Services & Energy. At the core of all this are people, who at Kirey are empowered to fully express their talent and actively contribute to the company’s value chain. This is made possible through continuous investment in improvement processes and training, the promotion of innovative ideas and creativity through skills development,
and a strong commitment—expressed through dedicated initiatives—to inclusion and diversity. YOUR ROLE We are looking for a GEN AI Engineer role Responsibilities Design, develop, and industrialize GenAI applications, from prototyping to production deployment Develop agentic workflows and LLM-based solutions, including RAG, function calling, and service orchestration Design, train, and fine-tune machine learning models to complement GenAI solutions where traditional ML approaches are more suitable Select and evaluate the most appropriate approach (traditional ML, fine-tuned models, or LLM-based solutions) based on use case requirements and constraints Deploy and operate GenAI and ML solutions on cloud infrastructure (preferred AWS ), leveraging Databricks (nice to have) for data and AI pipelines where relevant Use AI-assisted development tools (GitHub Copilot, Claude, and similar solutions) to accelerate coding, testing, refactoring,