Kirey
Kirey
1,001 – 5,000 Employees
ConsultingHealthcareManufacturing
Kirey is a European technology and digital consulting group that supports organizations in finance, manufacturing, public administration, energy, and healthcare. With roots in Italy and an international team of more than 1,500 employees, the company helps clients modernize operations through Data & AI, cloud and infrastructure, software development, cybersecurity, and automation. Its work includes AI and machine learning, generative AI, data platforms and governance, cloud migration, platform engineering, security monitoring, antifraud solutions, DevOps, and application development. Kirey’s hiring context spans the technical and consulting expertise needed to deliver digital transformation and data-driven innovation across these industries.

Junior Mid AI Engineer - Generative AI and Data Engineering

Build generative AI agents, retrieval-augmented generation pipelines, and cloud data platforms for Kirey’s technology consulting clients. Work with AWS Bedrock, Databricks, and Python to deliver practical AI solutions.

Description

  • Create generative AI solutions with LLM agents and RAG pipelines using AWS Bedrock Agents or Databricks Genie
  • Engineer and refine prompts to improve agent accuracy, reliability, and cost efficiency
  • Design data models and develop ingestion pipelines across AWS and Databricks environments
  • Maintain scalable data models on AWS and Databricks
  • Produce clean, documented Python code and support AI component testing and quality assurance
  • Assess and monitor AI solutions for accuracy, performance, and reliability
  • Create dashboards and visualizations that communicate insights to business users
  • Work with senior engineers, consultants, and client teams across the project lifecycle
  • Track developments in AI and contribute new ideas to the team

Requirements

  • Bachelor’s or master’s degree in computer science, computer engineering, data science, mathematics, physics, or a related discipline
  • One to three years of experience in AI or data engineering
  • Practical experience using AWS Bedrock Agents or Databricks Genie to build agentic AI solutions
  • Experience designing, refining, and evaluating prompts for LLM applications
  • Demonstrated ability to model data and build ingestion pipelines with AWS services such as Glue, Lambda, or S3, and/or Databricks
  • Proficiency in Python and SQL
  • Working knowledge of machine learning principles and large language models
  • Familiarity with cloud platforms, including AWS or Databricks, and modern data tooling
  • Strong written and spoken English; Italian is required
  • Additional experience with LangChain or LangGraph, AWS or Databricks certifications, a GitHub portfolio, Microsoft Fabric, or Azure is beneficial

Benefits

  • Work on challenging projects involving innovative technologies
  • Join a dynamic environment that recognizes performance and merit
  • Collaborate within an agile team structure
  • Follow a defined plan for professional development
  • Access training courses and certification opportunities
  • Use the company’s welfare and benefits program
  • Choose smart working or fully remote arrangements with flexible hours

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