Pp✨ Kirey is one of the leading European groups in technology consulting and system integration, with a distinctive positioning in the field of data‑driven innovation. /p pThrough a comprehensive portfolio of solutions—including Data AI, Cloud, Software Development, Cybersecurity, Infrastructure Automation, and Monitoring—Kirey transforms data complexity into intuitive, accessible solutions, empowering clients to achieve their business goals. /p pHeadquartered in Italy, with a solid international presence and nearly 1,500 employees, Kirey has delivered more than 10,000 projects for leading clients across the Insurance, Banking, Manufacturing, Retail, Public Administration, and Services Energy sectors. /p pAt the heart of all this are people, who at Kirey find the space to fully express their talent and to feel like an active part of the company’s value chain. This is made possible through continuous investment in improvement processes, supported by training; innovative ideas and encouragement of creativity, driven by consolidated expertise; and a strong commitment—reflected in dedicated initiatives—to inclusion and diversity. /p h3YOUR ROLE /h3 pIn this role, you will collaborate with cross-functional teams to design and deliver cloud-based AI solutions, focusing on high-impact use cases aimed at increasing productivity. You will contribute to the evolution of enabling architectures and components, leveraging state-of-the-art technologies. /p pWorking closely with AI Architects and Business Translators, you will ensure reliability, scalability, and production readiness, following industry-standard DevOps and MLOps practices. The role includes designing and implementing LLM-based architectures—such as RAG, MCP, and A2A patterns—to build advanced agentic systems. /p ul liCollaborate proactively with business stakeholders and technical teams to translate functional requirements into scalable technical architectures, ensuring high-quality implementation of AI and LLM-based use cases. /li liDesign, develop, and optimize AI agents and conversational systems orchestrated through generative AI frameworks such as LangChain, LangGraph, Copilot Studio, or equivalent orchestration platforms. /li liArchitect and implement LLM-based and agentic AI solutions (including RAG, hybrid search, agent orchestration, and agent-to-agent (A2A) interaction patterns), ensuring robustness, explainability, scalability, and production-grade performance. /li liEnsure data quality, governance, compliance, and performance optimization across the end-to-end AI lifecycle. /li liDesign and evolve data models aligned with business objectives and enterprise data standards. /li liContribute to the continuous improvement of AI engineering practices, DevOps/MLOps pipelines, and production-grade infrastructure. /li li3–5 years of hands-on experience in software design and implementation, with a strong focus on AI-driven systems. /li liProven experience designing and deploying LLM-based and agentic AI systems in enterprise, production-grade environments. /li liExperience with generative AI orchestration frameworks (e.g., LangChain, LangGraph, or equivalent tools). /li liPractical experience working with LLM APIs (e.g., OpenAI API/SDK) and familiarity with fine-tuning or adapter-based approaches. /li liStrong expertise in Python, PyTorch, and system design (software and data architecture). /li liSolid experience with MLOps and DevOps practices, including version control (Git), containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and ML lifecycle management tools such as MLflow. /li liStrong proficiency in SQL and data modeling. /li liExperience with object-oriented software development in Python and API design/implementation (additional languages are a plus). /li liPractical experience deploying and operating containerized AI workloads on Kubernetes-based infrastructures. /li liUniversity degree in Computer Science, Engineering, Physics, Mathematics, or related fields. /li /ul h3⭐ Nice to Have /h3 ul liExperience with Copilot Studio. /li liExperience with cloud AI platforms (e.g., AWS Bedrock, Azure AI Foundry). /li liExperience with PySpark or Apache Spark across AWS or Azure environments. /li liExposure to regulated or enterprise-scale environments /li /ul h3WHO WE ARE LOOKING FOR /h3 pWe are looking for a professional with strong AI engineering skills to join our technical team and work on innovative and challenging projects across AI agent development, data analytics, and machine learning. /p h3WHAT WE OFFER /h3 ul liComplex and innovative projects /li liA dynamic and merit-based work environment /li liA structured professional growth path /li liTraining courses and certifications /li liWelfare Benefits program /li liReal smart working or full remote options with flexible hours ❗ /li /ul h3JOIN US /h3 pWe follow a Hybrid Work strategy designed to fully leverage the opportunities that remote work offers both to employees and to the company. Our approach to the work environment reflects the belief that a person’s impact, contribution, and results matter more than their physical location. /p pKirey values and supports diversity in the workplace. All applications for open positions are welcomed and will be evaluated based on merit. /p pYour data will be processed for recruitment purposes (execution of pre-contractual measures) by parties, including external ones, involved in the selection process on behalf of the Data Controller, Kirey S.r.l., with registered office in Viale Francesco Restelli, 5 – 20124 Milan, represented by its legal representative pro tempore, and/or by other companies under its control and coordination. You may contact the Data Controller at to exercise your rights (Art. 15–22 GDPR), including the right to lodge a complaint with the Data Protection Authority. Your data will be stored for up to 24 months (unless interrupted or suspended for justified reasons) and will not be disclosed. The full Privacy Notice (Art. 13 GDPR) is available at the following link: or upon request at /p /p #J-18808-Ljbffr