Gen Ai Engineer

Your New Company 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.

YOUR ROLEWe are looking for a GEN AI Engineer role

Responsibilities

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 (Git Hub 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

Requirements1 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 Lang Graph, Lang Chain, Llama Index, or Semantic Kernel Strong proficiency in one or more modern programming languages (Python, Type Script, ..)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. Sage Maker, 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 Nice to have 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 Dev Ops, 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…