T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

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We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one integral team, guided by respect, integrity, and a passion for doing better every day.
Job DescriptionKey responsibilities
- Implement and maintain small AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation.
- Support senior engineers in configuring AI development environments, testing prompts, comparing model outputs, and documenting repeatable SDLC usage patterns.
- Create scripts and lightweight services that connect Git repositories,



CI/CD logs, issue trackers, documentation stores, and internal model endpoints.
- Help prepare handover materials including codebase summaries, service notes, build observations, glossary entries, and structured evidence templates.
- Test open-source, open-weight, and Chinese coding models in approved environments and document strengths, limitations, risks, and practical usage guidance.
- Participate in reviews with senior engineers to validate AI-generated outputs, correct inaccuracies, and improve workflow quality over time.

Examples of market tools, models, and SDLC platforms expected
- AI development environments such as Cursor, Windsurf, Continue, Cline, Aider, Claude Code, or VS Code-based extensions configured for enterprise repositories.
- Model families used for coding support such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other internally app

📌 AI Engineering Workflow Developer (Valencia)
🏢 T-Systems Iberia
📍 Valencia