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AI Software Developer (m/f/d)

Deutsche Telekom IT Solutions Slovakia
CompanyDeutsche Telekom IT Solutions Slovakia
CategoryEngineering
LocationKošice
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted11 Aug 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's 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