Gen Ai Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78o3wc

pstrongYour New Company /strong /ppKirey is one of the leading European groups specializing in technology consulting and system integration, with a distinctive positioning in data-driven innovation. /ppThrough 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. /ppHeadquartered 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. /ppAt 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. /ppbr / /ppstrongYOUR ROLE /strong /ppWe are looking for a GEN AI Engineer role /ppbr / /ppbr / /ppstrongWHO WE ARE LOOKING FOR /strong /ppThe ideal candidate has 1-5 years five years of experience in design, build, and industrialize Generative AI and agentic solutions — from prototyping to production — using modern LLM, RAG, and cloud-native technologies. /ppbr / /ppbr / /ppstrongResponsibilities /strong /pulliDesign, develop, and industrialize GenAI applications, from prototyping to production deployment /liliDevelop agentic workflows and LLM-based solutions, including RAG, function calling, and service orchestration /liliDesign, train, and fine-tune machine learning models to complement GenAI solutions where traditional ML approaches are more suitable /liliSelect and evaluate the most appropriate approach (traditional ML, fine-tuned models, or LLM-based solutions) based on use case requirements and constraints /liliDeploy and operate GenAI and ML solutions on cloud infrastructure (preferred strongAWS /strong), leveraging Databricks (nice to have) for data and AI pipelines where relevant /liliUse AI-assisted development tools (GitHub Copilot, Claude, and similar solutions) to accelerate coding, testing,



refactoring, and code review /liliImplement MLOps/LLMOps practices, including model versioning, automated retraining, and performance monitoring in production /liliCollaborate with cross-functional teams (Product, Cloud, Data, Security, and Business) to bring innovative solutions into production /liliDefine standards, frameworks, and best practices for adopting Generative AI in enterprise contexts /li /ulpbr / /ppstrongRequirements /strong /pulli1 to 5 years of hands-on experience in the role /liliFamiliarity with the principles of developing LLM-based applications, prompt engineering, RAG, and API integration /liliExperience at least one GenAI framework such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel /liliStrong proficiency in one or more modern programming languages (Python, TypeScript, ..) /liliExperience using Generative AI tools to support application development /liliBasic understanding of machine learning concepts and model development lifecycle (training, evaluation, deployment) /liliKnowledge of design patterns, development principles, and modern application architecture /liliKnowledge of key Software Delivery practices (CI/CD, code review, testing, and quality engineering) /liliWorking knowledge of AWS cloud services (e.G. SageMaker, Bedrock, S3, Lambda, EC2) /liliExperience building agentic solutions using frameworks such as Strands Agents, with familiarity with agent interoperability protocols : MCP, A2A. (Mosaic AI Agent Framework nice to have) /liliAbility to translate business and process requirements into concrete technological solutions /liliFluent English /li /ulpbr / /ppstrongNice to have /strong /pulliExperience developing agentic systems and multi-agent workflows /liliKnowledge of Azure OpenAI, OpenAI API, or other enterprise AI platforms /liliKnowledge of Databricks for data engineering, ML pipelines,



and GenAI workloads /liliFamiliarity with vector databases and semantic search solutions /liliExperience with DevOps, Docker, Kubernetes, and cloud-native architecture /liliKnowledge of LLMOps, observability, evaluation frameworks, and AI application governance /liliExperience in industry-specific contexts such as manufacturing, engineering, pharma, airports/transportation, fashion, or gaming/betting /liliProfessional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture paths /liliProfessional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture path /li /ulpbr / /ppbr / /ppstrongWHAT WE OFFER /strong /ppThe proposed salary includes a gross annual salary (RAL) ranging between strong€30,000 and €40,000 /strong, depending on skills and experience. /ppbr / /ppbr / /ppstrongADDITIONAL BENEFITS /strong /pulliChallenging and innovative projects /liliDynamic and merit-based environment /liliAgile team collaboration /liliProfessional growth plan /liliTraining courses and certifications /liliWelfare Benefits system /liliSmart working or full remote options (genuinely available❗) with flexible hours /li /ulpbr / /ppbr / /ppstrongJOIN US /strong /ppstrongLocation: /strong Roma or Florence (Hybrid) /ppWe adopt a hybrid working strategy designed to leverage the opportunities offered by remote work for both employees and the company. Our approach reflects the belief that an employee’s impact, contribution, and results matter more than their physical location. /ppKirey promotes diversity in the workplace. All applications for open positions are welcome and will be assessed based on merit. /ppbr / /ppbr / /ppstrongDATA PROTECTION NOTICE /strong /ppYour 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. These entities may be contacted at . /ppYou may exercise your rights under Articles 15–22 of the GDPR, including lodging a complaint with the Data Protection Authority. Data will be retained for a maximum of 24 months (unless interrupted or suspended) and will not be disclosed. /ppThe full privacy notice is available here: or upon request at /p

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78o3wc