AI Engineer - Hybrid work

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.

Through 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.

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 the Insurance, Banking, Manufacturing, Retail, Public Administration, and Services & Energy sectors.

At 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; In 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. Working closely with AI Architects and Business Translators, you will ensure reliability, scalability, and production readiness, following industry-standard DevOps and MLOps practices. Collaborate 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.

Architect 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.

Ensure data quality, governance, compliance, and performance optimization across the end-to-end AI lifecycle.

Design and evolve data models aligned with business objectives and enterprise data standards.

Contribute to the continuous improvement of AI engineering practices, DevOps/MLOps pipelines, and production-grade infrastructure.

3–5 years of hands-on experience in software design and implementation, with a strong focus on AI-driven systems.

• OpenAI API/SDK) and familiarity with fine-tuning or adapter-based approaches.
• Strong expertise in Python, PyTorch, and system design (software and data architecture).
• Solid 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.
• Strong proficiency in SQL and data modeling.
• Experience with object-oriented software development in Python and API design/implementation (additional languages are a plus).
• University degree in Computer Science, Engineering, Physics, Mathematics, or related fields.
• Fluent in English

Experience with cloud AI platforms (e.AWS Bedrock, Azure AI Foundry).

Experience with PySpark or Apache Spark across AWS or Azure environments.

We 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.

Complex and innovative projects

Teamwork using Agile methodology

Training courses and certifications

Real smart working or full remote options with flexible hours

We 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.

Your 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.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.