JR/MID AI ENGINEER

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

Benefits offered by this job

Challenging 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

Job summary

Kirey is seeking a Jr/Mid AI Engineer to join its AI & Innovation Business Unit in Italy. You will work on Generative AI projects, building intelligent agents on AWS Bedrock and/or Databricks Genie, while designing data pipelines and ingestion processes.

You will collaborate with senior engineers on client projects, applying prompt engineering and data modeling skills. Fluency in English and Italian is expected, and hybrid work in Milan, Florence or Rome is offered.

Qualifications

• 1 to 3 years of experience in AI/data engineering roles.
• Hands-on experience with AWS Bedrock Agents and/or Databricks Genie.
• Prompt engineering and evaluation techniques for LLM-based apps.
• Data ingestion pipelines on AWS and/or Databricks; data modeling.
• Proficient in Python and SQL; ML concepts; cloud platforms.

Responsibilities

• Design and develop Generative AI solutions, including LLM-based agents and RAG pipelines.
• Write and iterate prompts for LLM agents, optimizing accuracy, cost and reliability.
• Model data and build ingestion pipelines on AWS and/or Databricks.
• Develop and maintain data models on platforms such as AWS and Databricks.
• Write clean Python code and contribute to testing and QA of AI components.
• Monitor AI solutions, measure accuracy and performance.
• Build dashboards and visualizations for business users.
• Collaborate with senior engineers and client teams through project lifecycle.
• Stay updated on AI developments and share ideas with the team.

Skills

Python

SQL

LLM concepts

Prompt engineering

Data modeling

Education

Bachelor's or Master's in CS/Engineering/Data Science/Math/Physics

Tools

AWS Bedrock

Databricks Genie

LangChain

Databricks

GitHub

Job description

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.

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

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].

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-Notice-ex-article.-13-14GDRP.pdf or upon request at [e-mail]