17 ott - Roma
Kirey
pKirey is one of the leading European groups specializing in technology consulting and system integration, with a distinctive positioning in 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 and accessible solutions, enabling its clients to achieve their business objectives. /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 industries such as Insurance, Banking, Manufacturing, Retail, Public Administration, and Services Energy. /p pAt 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. /p pKirey Group's AI Innovation Business Unit designs and delivers AI-driven solutions for leading companies across industries such as pharma, manufacturing and financial services. We help our clients turn data into value through Generative AI, advanced analytics and modern data platforms like AWS, Databricks, Microsoft Fabric and Azure. /p h3YOUR ROLE /h3 pJoin our AI Innovation Business Unit as a Jr/Mid AI Engineer. You will work on real client projects involving Generative AI, agentic solutions and data platforms — building intelligent agents on AWS Bedrock and/or Databricks Genie, while designing and implementing the data pipelines that power them. Locations: Milan, Florence, Rome — hybrid working model. /p pWe are looking for a motivated AI Engineer with 1 to 3 years of experience to join our team. You will work hands-on with senior engineers on client projects, combining agentic AI development — using AWS Bedrock Agents and/or Databricks Genie — with solid data engineering fundamentals, from data modeling to the design and implementation of ingestion pipelines.
/p pYou will contribute to projects such as AI agents, Retrieval-Augmented Generation (RAG) systems, automated data analysis and interactive dashboards, working in a collaborative, innovation-oriented environment /p h3Responsibilities /h3 ul liDesign and develop Generative AI solutions, including LLM-based agents and RAG pipelines, using AWS Bedrock Agents and/or Databricks Genie. /li liDesign, write and iterate on prompts for LLM-based agents, optimizing for accuracy, reliability and cost across different models and use cases. /li liModel data and build data pipelines, developing and maintaining ingestion processes on AWS and/or Databricks. /li liDevelop and maintain data models on platforms such as AWS , Databricks /li liWrite clean, well-documented Python code and contribute to testing and quality assurance of AI components. /li liHelp evaluate and monitor AI solutions, measuring accuracy, performance and reliability. /li liBuild dashboards and data visualizations to present insights to business users. /li liCollaborate with senior engineers, consultants and client teams throughout the project lifecycle. /li liStay up to date with the latest developments in AI and share new ideas with the team. /li /ul h3Requirements /h3 ul liBachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Physics or a related field. /li li1 to 3 years of experience in AI/data engineering roles. /li libHands-on experience with AWS Bedrock Agents and/or Databricks Genie for building agentic AI solutions. /b /li libPractical experience in prompt engineering, including prompt design, iterative refinement and evaluation techniques for LLM-based applications. /b /li liProven experience in data modeling and building data ingestion pipelines on AWS (e.g. Glue, Lambda, S3) and/or Databricks.
/li liGood programming skills in Python and SQL. /li liSolid understanding of machine learning concepts and familiarity with Large Language Models. /li liGood knowledge of cloud platforms (AWS and/or DataBricks) and modern data tools. /li liCuriosity, willingness to learn and a proactive attitude. /li liGood communication skills and the ability to work in a team. /li liGood knowledge of English, both written and spoken; Italian is required. /li /ul pNice to have: experience with frameworks such as LangChain or LangGraph, AWS or Databricks certifications, a GitHub portfolio, Microsoft Fabric and Azure. /p h3WHAT WE OFFER /h3 pThe proposed salary includes a gross annual salary (RAL) ranging between b€29,000 and €40,000 /b, depending on skills and experience. /p h3ADDITIONAL BENEFITS /h3 ul liChallenging and innovative projects /li liDynamic and merit-based environment /li liAgile team collaboration /li liProfessional growth plan /li liTraining courses and certifications /li liWelfare Benefits system /li liSmart working or full remote options (genuinely available) with flexible hours /li /ul h3JOIN US /h3 pWe adopt a hybrid working strategy designed to leverage the opportunities offered by remote work for both employees and the company. Our approach reflects the belief that an employee’s impact, contribution, and results matter more than their physical location. /p pKirey promotes diversity in the workplace. All applications for open positions are welcome and will be assessed based on merit. /p h3DATA PROTECTION NOTICE /h3 pYour 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. These entities may be contacted at . /p pYou may exercise your rights under Articles 15–22 of the GDPR, including lodging a complaint with the Data Protection Authority. Data will be retained for a maximum of 24 months (unless interrupted or suspended) and will not be disclosed. /p pThe full privacy notice is available here: : or upon request at /p #J-18808-Ljbffr
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