Jr/Mid Ai Engineer

Kirey; Lazio; Hybrid; EUR 29,000 - 40,000; Full time

Benefits offered by this job

Progetti innovativi

Ambiente merit based sul lavoro

Lavoro di squadra agile

Piano di crescita professionale

Corsi di formazione e certificazioni

Sistema Welfare & Benefits

Smart working o remoti flessibili

Job summary

Kirey cerca un AI Engineer Jr/Mid per progetti realistici su Generative AI, agentic solutions e data platforms. Lavorerai su agenti su AWS Bedrock e/o Databricks Genie, progettando pipeline dati che alimentano le soluzioni. Località: Milano, Firenze, Roma – modello ibrido.

Richiesta 1–3 anni di esperienza, solide basi di data engineering, Python e SQL. Collaborerai con ingegneri senior e team di clienti, con focus su formazione continua e innovazione.

Qualifications

• Laurea in CS/Ingegneria, Data Science, o field affini.
• 1–3 anni di esperienza in ruoli AI/data engineering.
• Esperienza pratica con AWS Bedrock Agents o Databricks Genie.
• Esperienza in data modeling e pipelines su AWS e/o Databricks.
• Buone competenze Python e SQL.
• Buone conoscenze di Inglese; l'italiano è richiesto.

Responsibilities

• Progettare e sviluppare soluzioni Generative AI (LLM-based).
• Creare prompt efficaci per agenti AI; ottimizzare costi e accuratezza.
• Modellare dati e costruire pipelines di ingestion su AWS/Databricks.
• Sviluppare modelli dati su AWS e Databricks.
• Codice Python pulito e test/QA degli elementi AI.
• Valutare prestazioni e affidabilità delle soluzioni AI.
• Costruire dashboard e visualizzazioni per utenti di business.
• Collaborare con ingegneri senior e team di clienti.
• Aggiornarsi su novità AI e condividere idee con il team.

Skills

Python

SQL

Inglese

Italiano

Prompt engineering

Data modeling

Education

Laurea in CS/Ingegneria o affini

Tools

AWS Bedrock Agents

Databricks Genie

Databricks

AWS Glue

S3

Job description

Questa posizione è in Kirey

Il processo di selezione sarà interamente gestito Kirey.

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. Kirey 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.

YOUR ROLE

Join 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. We 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. You 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.

Responsibilities

• Design and develop Generative AI solutions, including LLM-based agents and RAG pipelines, using AWS Bedrock Agents and/or Databricks Genie.
• Design, write and iterate on prompts for LLM-based agents, optimizing for accuracy, reliability and cost across different models and use cases.
• Model data and build data pipelines, developing and maintaining ingestion processes on AWS and/or Databricks.
• Develop and maintain data models on platforms such as AWS , Databricks
• Write clean, well‑documented Python code and contribute to testing and quality assurance of AI components.
• Help evaluate and monitor AI solutions, measuring accuracy, performance and reliability.
• Build dashboards and data visualizations to present insights to business users.
• Collaborate with senior engineers, consultants and client teams throughout the project lifecycle.
• Stay up to date with the latest developments in AI and share new ideas with the team.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Physics or a related field.
• 1 to 3 years of experience in AI/data engineering roles.
• Hands‑on experience with AWS Bedrock Agents and/or Databricks Genie for building agentic AI solutions.
• Practical experience in prompt engineering, including prompt design, iterative refinement and evaluation techniques for LLM-based applications.
• Proven experience in data modeling and building data ingestion pipelines on AWS (e.g. Glue, Lambda, S3) and/or Databricks.
• Good programming skills in Python and SQL.
• Solid understanding of machine learning concepts and familiarity with Large Language Models.
• Good knowledge of cloud platforms (AWS and/or DataBricks) and modern data tools.
• Curiosity, willingness to learn and a proactive attitude.
• Good communication skills and the ability to work in a team.
• Good knowledge of English, both written and spoken; Italian is required.

Nice to have: experience with frameworks such as LangChain or LangGraph, AWS or Databricks certifications, a GitHub portfolio, Microsoft Fabric and Azure.

Qualifications

WHAT WE OFFER

The proposed salary includes a gross annual salary (RAL) ranging between €29,000 and €40,000, depending on skills and experience.

ADDITIONAL BENEFITS

• Challenging and innovative projects
• Dynamic and merit‑based environment
• Agile team collaboration
• Professional growth plan
• Training courses and certifications
• Welfare & Benefits system
• Smart working or full remote options (genuinely available) with flexible hours

JOIN US

Location: Rome (Hybrid)- Milan (Hybrid) – Florence (Hybrid) We 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. Kirey promotes diversity in the workplace. All applications for open positions are welcome and will be assessed based on merit.

DATA PROTECTION NOTICE

Your 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 [[e-mail]](mailto:[e-mail]). You 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. The full privacy notice is available here: [: https://www.kireygroup.com/oven/media/Kirey-Job-applicants-Privacy-Policy-ex-art.-13-14-GDPR.pdf](https://www.kireygroup.com/oven/media/Kirey-Job-applicants-Privacy-Policy-ex-art.-13-14-GDPR.pdf) or upon request at [[e-mail]](mailto:[e-mail])