Artificial Intelligence

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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. 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.

We are looking for a GEN AI Engineer role

• Design, develop, and industrialize GenAI applications, from prototyping to production deployment
• Develop agentic workflows and LLM-based solutions, including RAG, function calling, and service orchestration
• Design, train, and fine-tune machine learning models to complement GenAI solutions where traditional ML approaches are more suitable
• Select and evaluate the most appropriate approach (traditional ML, fine-tuned models, or LLM-based solutions) based on use case requirements and constraints
• Deploy and operate GenAI and ML solutions on cloud infrastructure (preferred AWS ), leveraging Databricks (nice to have) for data and AI pipelines where relevant
• Use AI-assisted development tools (GitHub Copilot, Claude, and similar solutions) to accelerate coding, testing, refactoring, and code review
• Implement MLOps/LLMOps practices, including model versioning, automated retraining, and performance monitoring in production
• Collaborate with cross-functional teams (Product, Cloud, Data, Security, and Business) to bring innovative solutions into production
• Define standards, frameworks, and best practices for adopting Generative AI in enterprise contexts

1 to 5 years of hands‑on experience in the role

• ~ Familiarity with the principles of developing LLM-based applications, prompt engineering, RAG, and API integration
• ~ Experience at least one GenAI framework such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel
• ~ Strong proficiency in one or more modern programming languages (Python, TypeScript, ..)
• ~ Experience using Generative AI tools to support application development
• ~ Basic understanding of machine learning concepts and model development lifecycle (training, evaluation, deployment)
• ~ Knowledge of design patterns, development principles, and modern application architecture
• ~ Knowledge of key Software Delivery practices (CI/CD, code review, testing, and quality engineering)
• ~ Working knowledge of AWS cloud services (e.g. SageMaker, Bedrock, S3, Lambda, EC2)
• ~ Experience building agentic solutions using frameworks such as Strands Agents, with familiarity with agent interoperability protocols : MCP, A2A. (Mosaic AI Agent Framework nice to have)
• ~ Ability to translate business and process requirements into concrete technological solutions
• ~ Fluent English

• Experience developing agentic systems and multi-agent workflows
• Knowledge of Azure OpenAI, OpenAI API, or other enterprise AI platforms
• Knowledge of Databricks for data engineering, ML pipelines, and GenAI workloads
• Familiarity with vector databases and semantic search solutions
• Experience with DevOps, Docker, Kubernetes, and cloud-native architecture
• Knowledge of LLMOps, observability, evaluation frameworks, and AI application governance
• Experience in industry‑specific contexts such as manufacturing, engineering, pharma, airports/transportation, fashion, or gaming/betting
• Professional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture paths
• Professional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture path

The proposed salary includes a gross annual salary (RAL) ranging between €30,000 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