Senior AI Engineer

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About the project: The project involves building and scaling an AI-powered customer management solution with a strong focus on agentic AI capabilities. Engineers will contribute to the design, development, and deployment of foundational AI platform components, including agent harnesses, agent factories, or similar agentic frameworks. You will be: Designing and building agentic AI platform capabilities from the ground up. Developing and delivering cloud-native enterprise applications. Establishing and maintaining cloud infrastructure, Infrastructure as Code (IaC), and CI/CD pipelines. Deploying and operating solutions in enterprise environments while adhering to architecture, security, governance, and compliance requirements. Collaborating with client architects, engineering leaders, and technical stakeholders. Supporting integration between modern AI solutions and existing enterprise systems. Working within highly regulated environments that include significant legacy infrastructure. Your profile: Strong software engineering background with hands-on development experience. Proven experience delivering cloud-based solutions in enterprise environments. Demonstrated experience building an agent harness, agent factory, or comparable agentic platform from the ground up. Deep expertise in cloud engineering, including infrastructure, Infrastructure as Code (IaC), CI/CD, and enterprise-scale deployments. Experience working within complex enterprise organizations. Experience operating in regulated environments with governance, controls, and architectural standards. Ability to work effectively in distributed, remote teams aligned with European time zones. Technical leadership, stakeholder management, and the ability to engage directly with senior architects and engineering leadership. Work from the European Union region and a work permit are required. Nice to have: Experience in banking or financial services environments. Experience integrating with legacy systems such as mainframes, core banking platforms, legacy middleware, or messaging systems. Experience modernizing environments with significant legacy infrastructure. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision