AI Gateway Engineer (M/K)

Experis; Województwo pomorskie; Hybrid; PLN 150,000 - 220,000; Full time

Benefits offered by this job

Medical care

Life insurance

MultiSport card

Job summary

Experis is seeking an experienced AI Gateway Engineer to design, build, and operate gateway capabilities across enterprise API platforms. You will implement secure gateway patterns for LLM access and agent-to-agent integrations, while developing infrastructure-as-code with Terraform to enable automated provisioning of gateway components.

You will also build CI/CD pipelines, manage release practices for gateway changes, and extend Kong plugins with Lua and Python.

Qualifications

• Must have hands-on experience with API gateways and enterprise gateway platforms.
• Strong knowledge of Terraform and infrastructure-as-code practices.
• Experience with Kubernetes and Helm for deployment of gateway components.

Responsibilities

• Design, build and operate AI Gateway capabilities based on API platform and gateway engineering practices.
• Implement secure and reusable gateway patterns for LLM access and agent-to-agent integrations.
• Develop and maintain infrastructure-as-code using Terraform and automate provisioning of gateway components.
• Build and improve CI/CD pipelines, source control workflows and release practices for gateway changes.
• Setup and automate gateway policies to expose AI capabilities in a governed, developer-friendly way.
• Create and extend Kong plugins using Lua and Python for gateway capabilities and integrations.
• Integrate AI Gateway with enterprise IdP and support authentication, authorization and access control.

Skills

API gateway

CI/CD

IAM integration

Plugin development

Observability

Tools

Kong

IBM API Connect

DataPower

Terraform

Kubernetes

Helm

Python

Lua

Splunk

Prometheus

Grafana

Job description

For our client we are looking for candidates for the position of AI Gateway Engineer (M/K).

Main responsibilities in this role include, but are not limited to:

• 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
• Setup 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, authorisation and access control patterns

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
• Good knowledge of Terraform and infrastructure-as-code practices
• Experience with Kubernetes and Helm charts for deploying and managing platform or gateway components
• Good knowledge of CI/CD pipelines, source control workflows and automated release practices
• Good knowledge of Python and Lua for creating, extending and maintaining Kong plugins
• Good knowledge of IdP integration, authentication, authorisation and access control patterns for gateways
• Experience setting up logging, monitoring and alerting, including work with observability tools such as Splunk, Prometheus and Grafana

Benefits:

• medical care, life insurance, MultiSport card

The offer applies to permanent work.