Your New CompanyScopra di più su questo ruolo leggendo le informazioni qui sotto, quindi invii la sua candidatura per essere preso/a in considerazione.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. 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.We are looking for a GEN AI Engineer roleDesign, develop, and industrialize GenAI applications, from prototyping to production deploymentDevelop agentic workflows and LLM-based solutions, including RAG, function calling, and service orchestrationDesign, train, and fine-tune machine learning models to complement GenAI solutions where traditional ML approaches are more suitableSelect and evaluate the most appropriate approach (traditional ML, fine-tuned models, or LLM-based solutions) based on use case requirements and constraintsDeploy and operate GenAI and ML solutions on cloud infrastructure (preferred AWS ), leveraging Databricks (nice to have) for data and AI pipelines where relevantUse AI-assisted development tools (GitHub Copilot, Claude, and similar solutions) to accelerate coding, testing, refactoring, and code reviewImplement MLOps/LLMOps practices,



including model versioning, automated retraining, and performance monitoring in productionCollaborate with cross-functional teams (Product, Cloud, Data, Security, and Business) to bring innovative solutions into productionDefine standards, frameworks, and best practices for adopting Generative AI in enterprise contexts1 to 5 years of hands‑on experience in the role~ Familiarity with the principles of developing LLM-based applications, prompt engineering, RAG, and API integration~ Experience at least one GenAI framework such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel~ Strong proficiency in one or more modern programming languages (Python, TypeScript, ..)~ Experience using Generative AI tools to support application development~ Basic understanding of machine learning concepts and model development lifecycle (training, evaluation, deployment)~ Knowledge of design patterns, development principles, and modern application architecture~ Knowledge of key Software Delivery practices (CI/CD, code review, testing, and quality engineering)~ Working knowledge of AWS cloud services (e.G. SageMaker, Bedrock, S3, Lambda, EC2)~ Experience building agentic solutions using frameworks such as Strands Agents, with familiarity with agent interoperability protocols : MCP, A2A. (Mosaic AI Agent Framework nice to have)~ Ability to translate business and process requirements into concrete technological solutions~ Fluent EnglishExperience developing agentic systems and multi-agent workflowsKnowledge of Azure OpenAI, OpenAI API,



or other enterprise AI platformsKnowledge of Databricks for data engineering, ML pipelines, and GenAI workloadsFamiliarity with vector databases and semantic search solutionsExperience with DevOps, Docker, Kubernetes, and cloud-native architectureKnowledge of LLMOps, observability, evaluation frameworks, and AI application governanceExperience in industry‑specific contexts such as manufacturing, engineering, pharma, airports/transportation, fashion, or gaming/bettingProfessional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture pathsProfessional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture pathThe proposed salary includes a gross annual salary (RAL) ranging between €30,000 and €40,000, depending on skills and experience.ADDITIONAL BENEFITSChallenging and innovative projectsDynamic and merit‑based environmentAgile team collaborationProfessional growth planTraining courses and certificationsWelfare & Benefits systemSmart working or full remote options (genuinely available) with flexible hoursLocation: Roma or Florence (Hybrid)We adopt a hybrid working strategy designed to leverage the opportunities offered by remote work for both employees and the company.DATA PROTECTION NOTICEYour personal data will be processed for recruitment purposes (execution of pre‑contractual measures) by Kirey S.R.L., headquartered at Viale Francesco Restelli 5, 20124 Milan, Italy, represented by its legal representative, and/or by other companies under its control. You may exercise your rights under Articles 15–22 of the GDPR, including lodging a complaint with the Data Protection Authority. xysqume Data will be retained for a maximum of 24 months (unless interrupted or suspended) and will not be disclosed.The full privacy notice is available here: or upon request at#J-18808-Ljbffr

📌 Artificial Intelligence (Ai) Engineer (Italia)
🏢 Kirey
📍 Italia