Generative AI Engineer
Pubblicato il 29-08-2026 - agap2 Italia in Milano
Senior AI Engineer (AWS & Generative AI) – 100% Remote
AGAP2 è un gruppo europeo di consulenza ingegneristica parte del gruppo MoOngy. Presente in 14 paesi europei con oltre 8.500 dipendenti abbiamo aperto, da quattro anni, la prima sede italiana a Milano e, vista la continua crescita, stiamo rafforzando e ampliando il nostro team con persone che condividano gli stessi valori della nostra società: AMBIZIONE, DINAMISMO, VOGLIA DI METTERSI IN GIOCO, il tutto in una realtà giovane ed in continua evoluzione, nella quale le relazioni umane sono sempre al primo posto.
About the Role
We are looking for a Senior AI Engineer with strong expertise in AWS and Generative AI to join a high-impact, strategic project for a major client in the banking sector.
This is an urgent, high-priority hiring wave. You will join an international, fully remote team responsible for designing, building, and deploying next-generation AI systems, advanced LLM solutions, and cutting-edge GenAI applications.
- Location: 100% Remote (Open to candidates based anywhere: Italy, Spain, France, Portugal, and beyond)
- Urgency: High / Immediate start
- Sector: Banking / Financial Services
Key Responsibilities
- AI Architecture: Design, develop, and maintain robust, scalable, and secure AI systems and model infrastructures using AWS native services.
- GenAI Integration: Implement, deploy, and optimize applications utilizing the latest Generative AI models, frameworks, and agentic workflows.
- Serverless Engineering: Build event-driven architectures and manage scheduled executions for AI orchestration within cloud environments.
- Collaboration: Work closely with international cross-functional teams to deliver production-ready AI and intelligent data solutions for financial systems.
Technical Requirements
- Experience: 5+ years of proven experience working as an AI/Software Engineer in complex environments.
- Generative AI: Practical, hands-on experience integrating, fine-tuning, and deploying advanced LLM