Artificial Intelligence (Ai) Engineer

Kirey; Lazio; Ibrido; EUR 30.000 - 40.000; Tempo pieno

Vantaggi offerti da questo lavoro

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

Descrizione del lavoro

Kirey cerca un GenAI Engineer per progettare e implementare soluzioni GenAI in ambienti aziendali. Il candidato lavorerà in team trasversali, sfruttando AWS e Databricks, con focus su MLOps e integrazione di LLM.

La posizione offre un modello ibrido con presenza a Roma o Firenze e salario lordo annuo tra 30.000 e 40.000 EUR, in base a competenze ed esperienza. Ottime opportunità di crescita professionale e formazione continua.

Competenze

• 1–5 anni di esperienza hands‑on nel ruolo GenAI
• Esperienza in uno o più framework GenAI (LangGraph, LangChain, LlamaIndex, Semantic Kernel)
• Padronanza di uno o più linguaggi moderni (Python, TypeScript)
• Esperienza con strumenti Generative AI per sviluppo applicazioni
• Comprensione del ciclo di vita ML e delle best practice di sviluppo

Mansioni

• Progettare, sviluppare e industrializzare applicazioni GenAI
• Sviluppare workflow agentici e soluzioni basate su LLM
• Progettare, addestrare e affinare modelli ML per integrazioni GenAI
• Implementare MLOps/LLMOps e monitoraggio in produzione
• Collaborare con Product, Cloud, Data, Security e Business
• Definire standard e pratiche per adozione GenAI in contesti aziendali
• Operare GenAI e ML su infrastruttazioni cloud (preferibilmente AWS)

Conoscenze

GenAI

LLM

Python

TypeScript

AWS

Databricks

LangChain

RAG

APIs

English

Strumenti

AWS SageMaker

Bedrock

S3

Lambda

Docker

Kubernetes

Descrizione del lavoro

Your New Company

Scopra di più su questo ruolo leggendo le informazioni qui sotto, quindi invii la sua candidatura per essere preso/a in considerazione.

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
• Training courses and certifications
• Welfare & Benefits system
• Smart working or full remote options (genuinely available) with flexible hours

Location: Roma or Florence (Hybrid)

We adopt a hybrid working strategy designed to leverage the opportunities offered by remote work for both employees and the company.

DATA PROTECTION NOTICE

Your personal data will be processed for recruitment purposes (execution of pre‑contractual measures) by Kirey S.r.l., headquartered at Viale Francesco Restelli 5, 20124 Milan, Italy, represented by its legal representative, and/or by other companies under its control. You may exercise your rights under Articles 15–22 of the GDPR, including lodging a complaint with the Data Protection Authority. xysqume Data will be retained for a maximum of 24 months (unless interrupted or suspended) and will not be disclosed.

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