Junior/Mid AI Engineer

Kirey

. Design and develop Generative AI solutions, including LLM-based agents and RAG pipelines, using AWS Bedrock Agents and/or Databricks Genie .

Posted 10/2/2026full-timeRome • ItalyJunior💰 €29,000 - €40,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing Generative AI solutions using AWS Bedrock Agents and Databricks, with strong capabilities in prompt engineering, data modeling, and building data ingestion pipelines. Proficient in Python programming and familiar with machine learning concepts and large language models.

Highest-signal resume keywords

Generative AI Solutions DevelopmentPrompt EngineeringData ModelingAWS Bedrock AgentsPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesMachine Learning ConceptsSQL ProgrammingData VisualizationAI Solution Evaluation

Soft Skills

CollaborationCommunication

Tools & Technologies

AWSDatabricksAWS GlueAWS LambdaAWS S3

Certifications & Qualifications

AWS CertificationDatabricks Certification

Industry Keywords

Large Language ModelsData ScienceAI/Data EngineeringIterative RefinementCloud Platforms

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

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 accuracy, reliability and cost
Model data and build data pipelines, developing and maintaining ingestion processes on AWS and/or Databricks
Develop and maintain data models on AWS and Databricks
Write clean, well-documented Python code and contribute to testing and quality assurance of AI components
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 AI developments and share new ideas with the team

Requirements

What you’ll need

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
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

Benefits

Comp & perks

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 with flexible hours