GenAI & Agentic AI Engineer (AWS/Databricks, Remote)

Aimlroles; Toscana; Hybrid; EUR 32,000 - 45,000; Full time

Benefits offered by this job

Challenging projects

Dynamic environment

Merit-based culture

Professional growth plan

Training & certifications

Welfare & Benefits system

Hybrid/remote options

Job summary

Kirey is seeking a Mid/Sr AI Engineer to join its AI & Innovation Business Unit in Italy. You will work on Generative AI, Agent solutions and data platforms, building intelligent agents on AWS Bedrock/AgentCore or Databricks Mosaic AI, with solid data pipelines.

Locations: Florence, Rome, Milan, Turin—hybrid. You will collaborate with senior engineers on client projects, contribute to RAG systems, prompts and dashboards, and stay current with AI developments in a fast-paced, innovation-driven

Qualifications

• Bachelor’s or master’s degree in CS / CE / Data Science / Math / Physics or related field.
• 2–5 years of AI/data engineering experience.
• Hands-on agentic AI on AWS Bedrock/AgentCore or Databricks Mosaic AI/Genie.

Responsibilities

• Design and develop Generative AI solutions with LLM-based agents and RAG pipelines.
• Write, refine and evaluate prompts to optimize accuracy and cost.
• Build ingestion pipelines and data models on AWS and/or Databricks.
• Collaborate with senior engineers, consultants and client teams.
• Create dashboards and data visualizations to present insights.

Skills

Python

SQL

English (written and spoken)

Teamwork

Curiosity

Education

Bachelor’s or Master’s in CS/CE/Data Science/Math/Physics

Tools

AWS Bedrock

AgentCore

Databricks Mosaic AI

Genie

PostgreSQL

Job description

Kirey is seeking a Mid/Sr AI Engineer to join its AI & Innovation Business Unit in Italy. You will work on Generative AI, Agent solutions and data platforms, building intelligent agents on AWS Bedrock/AgentCore or Databricks Mosaic AI, with solid data pipelines.

Locations: Florence, Rome, Milan, Turin—hybrid. You will collaborate with senior engineers on client projects, contribute to RAG systems, prompts and dashboards, and stay current with AI developments in a fast-paced, innovation-driven