Senior AI Engineer

Description

The company is a global partner for AI, digital transformation and engineering, with more than 25 years in the field, around 5,000 people and presence in 16 countries.

The CEE region team has close to 1,000 specialists building modern applications, data platforms and AI solutions for large clients, working with AWS, Azure, GCP, Databricks and Snowflake.

The project is about building and scaling an AI-powered customer management solution, with a focus on agentic AI. Engineers help design, build and deploy core AI platform parts such as agent harnesses, agent factories or similar agentic frameworks.

Responsibilities

• Design and build agentic AI platform capabilities from scratch.
• Build and ship cloud-native enterprise applications.
• Set up and maintain cloud infrastructure, Infrastructure as Code (IaC) and CI/CD pipelines.
• Deploy and run solutions in enterprise environments, meeting architecture, security, governance and compliance standards.
• Work with client architects, engineering leads and other technical stakeholders.
• Help connect new AI solutions with existing enterprise systems.
• Work in highly regulated settings that carry a lot of legacy infrastructure.

Requirements

• Strong software engineering background with hands-on development work.
• Proven record delivering cloud-based solutions in enterprise settings.
• Demonstrated experience building an agent harness, agent factory or comparable agentic platform from the ground up.
• Deep cloud engineering skills across infrastructure, IaC, CI/CD and large-scale enterprise deployments.
• Experience in complex enterprise organisations.
• Experience working in regulated environments with governance, controls and architecture standards.
• Ability to work well in distributed, remote teams on European time zones.
• Technical leadership and stakeholder management, with the ability to talk directly to senior architects and engineering leadership.
• You must be working from the European Union and hold a work permit.
• Experience in banking or financial services.
• Experience integrating with legacy systems such as mainframes, core banking platforms, legacy middleware or messaging systems.
• Experience modernising environments with significant legacy infrastructure.

Conditions

Remote work with distributed teams on European time zones.

Work must be done from the European Union, and a work permit is required.

Hiring process: CV review, HR call, interview, client interview, then decision.