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AI Developer

AI Engineer Full-time Permanent Poland

Job details

Not specified Salary
Poland Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview

A hybrid engineering and architecture position focused on cloud platform delivery with a strong applied-AI dimension. The role sits at the crossroads of solution design and hands-on implementation, supporting enterprise clients as they integrate generative AI capabilities into existing technical estates. Candidates based in Poland are preferred, with a remote working model.

Responsibilities

- Design and deliver cloud and platform solutions on AWS and/or Azure, with infrastructure defined through Terraform and other Infrastructure-as-Code practices. - Contribute to the architecture and implementation of solutions that use generative AI and large language model technologies. - Define integration patterns between cloud or AI platforms and adjacent tooling such as Kubernetes, Grafana, Collibra, Splunk, LeanIX, Envoy, and LiteLLM. - Work alongside client architects and engineering teams to align on interfaces, dependencies, and trade-offs. - Translate business and technical requirements into scalable solution designs and communicate architectural decisions clearly to mixed audiences. - Operate within an Agile delivery environment, coordinating across distributed multidisciplinary teams.

Requirements

- Strong hands-on experience with AWS and/or Microsoft Azure in production environments. - Practical knowledge of Terraform and Infrastructure-as-Code patterns. - Solid understanding of generative AI, LLMs, and modern AI platform concepts. - Experience designing cloud or platform architectures and integrations, including Kubernetes and cloud-native patterns. - Familiarity with APIs, networking, security, and standard enterprise integration approaches. - Consulting mindset with strong communication, stakeholder management, and Agile delivery experience, plus fluent English.

Nice to have

- Experience building or integrating enterprise GenAI or LLM platforms, including gateways, model routing, or AI governance. - Background delivering in complex, regulated, or large-enterprise environments and prior consulting or client-facing engagement experience.

Benefits and work setup

Flexible B2B collaboration model with exposure to diverse projects and a remote-first setup.

Skills detected in the listing

Stakeholder ManagementAWSAzureKubernetesTerraformLLM
Detected Oct 2, 2026
Last verified Oct 6, 2026

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