AI Software Developer (m/f/d)
Deutsche Telekom IT Solutions Slovakia
| Company | Deutsche Telekom IT Solutions Slovakia |
| Category | Engineering |
| Location | Košice |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 11 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Job Description
We are looking for an AI Developer to design, develop, deploy, and maintain AI-powered solutions that support one of Europe’s largest infrastructure transformation programs: the nationwide expansion of fiber-optic networks.
You will contribute to modern AI solutions that improve process automation, engineering productivity, operational efficiency, knowledge access, and decision support in a highly process-driven enterprise environment involving thousands of employees and external partners.
The role covers the full lifecycle of AI solutions — from proof of concept to production deployment, operations, maintenance, and continuous improvement.
WHAT WILL YOU DO?
• Design, develop, deploy, and maintain AI-powered applications and agentic solutions
• Build AI copilots, multi-agent systems, and Retrieval-Augmented Generation solutions
• Develop solutions that improve process automation, engineering productivity, operational efficiency, and decision support
• Integrate AI services into business applications, workflows, and enterprise platforms using APIs and modern integration patterns
• Work with structured and unstructured data, including data pipelines, document processing, and data preparation for AI applications
• Build retrieval-based AI solutions and apply context engineering practices to improve access to enterprise knowledge, documentation, standards, and process information
• Monitor, troubleshoot, optimize, and maintain existing AI applications and platforms
• Support the transition of proof of concepts into reliable, production-ready solutions
• Take ownership of solution quality, maintainability, scalability, and operational stability
• Collaborate with data engineers, software engineers, architects, product teams, and business stakeholders
• Support the clarification of requirements and translate business needs into practical AI-enabled solutions
• Evaluate emerging AI technologies and contribute to their practical adoption in enterprise use cases