AI Gateway Engineer – Data Mesh and AI Platforms Team – Gdańsk (hybrid)

About the Position

We are looking for an AI Gateway Engineer for our client – an international financial organization developing modern cloud, data, and AI platforms.

You’ll help design, build, and operate an enterprise AI Gateway, extending API platforms to support LLM, MCP, and A2A patterns. This is a hands-on engineering role focused on secure, reusable, and production-ready AI capabilities.

The Data Mesh and AI Platforms team is part of the Integration and AI unit. The team develops integration and AI platforms, including Kong and Kafka, and is now extending this platform approach to an enterprise AI Gateway.

You’ll work closely with architects, cybersecurity, data governance, risk, compliance, cloud platform, and engineering teams in a regulated banking environment.

Responsibilities

• Design, build, and operate AI Gateway capabilities based on strong API platform and gateway engineering practices.
• Implement secure and reusable gateway patterns for LLM access, MCP servers, and A2A agent-to-agent integrations.
• Develop and maintain infrastructure-as-code using Terraform and support automated provisioning of gateway components.
• Build and improve CI/CD pipelines, source control workflows, and release practices for gateway configuration and platform changes.
• Set up and automate gateway policies to expose AI capabilities in a consistent, governed, and developer-friendly way.
• Create and extend Kong plugins using languages such as Lua and Python to support custom gateway capabilities and integrations.
• Integrate the AI Gateway with enterprise identity providers and support authentication, authorization, and access control patterns.
• Set up logging, monitoring, and alerting for gateway services, including observability dashboards & operational insights using tools such as Splunk, Prometheus, and Grafana.
• Establish FinOps capabilities for AI Gateway usage, including cost visibility, consumption tracking, and support for cost control mechanisms.
• Support onboarding of new use cases onto the AI Gateway and contribute to platform documentation, reusable templates, and engineering standards.

Requirements

• Strong hands-on experience with API platforms and gateway technologies in enterprise environments.
• Experience with gateway platforms such as Kong, IBM API Connect/DataPower, cloud-native gateways, or similar API management technologies.
• Solid knowledge of Terraform and infrastructure-as-code practices.
• Experience with Kubernetes and Helm charts for deploying and managing platform or gateway components.
• Solid knowledge of CI/CD pipelines, source control workflows, and automated release practices.
• Solid knowledge of Python and Lua for creating, extending, and maintaining Kong plugins.
• Solid knowledge of IdP integration, authentication, authorization, and access control patterns for gateways.
• Experience setting up logging, monitoring, and alerting, including work with observability tools such as Splunk, Prometheus, and Grafana.
• Understanding of FinOps practices, including cost visibility, consumption tracking, and guardrails for platform usage.
• Experience working with OpenAPI specifications, API contracts, gateway policies, and developer-facing platform documentation.
• Ability to work closely with architects, security, risk, compliance, and engineering teams in a regulated environment.

Nice to Have

• Experience with Kong API/AI Gateway specifically.
• Experience deploying gateways to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with cloud platforms such as AWS, GCP, or Azure and cloud-native AI services such as Bedrock, AWS Agent Core, Google Gemini AI, or Azure AI Foundry.

We Offer

• Hybrid working model with up to 40% remote work.
• Attractive benefits package.
• Private healthcare and life insurance.
• Multisport / sports benefits.
• Flexible working hours.
• Training and professional certification opportunities.
• Work with modern AI, API, cloud, and platform technologies.
• International environment and collaboration with experienced specialists.
• Modern office and flexible working environment.
• Strong opportunities for career development and continuous learning.
• Inclusive workplace with a strong focus on work-life balance.

About the Company

Our client is an international financial organization developing modern cloud, data, and AI platforms.