Company Description 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. 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 Description Key responsibilities Build reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation. Package prompts, tools, retrieval layers, model routing, evaluation checks, retries, and human approval steps into repeatable engineering accelerators. Integrate AI workflows with Git platforms, CI/CD systems, documentation stores, issue trackers, test outputs, service catalogues, and architecture evidence repositories.



Create workflow outputs thatremainauditable, including traceable source references, confidence indicators, reviewer checkpoints, and explicit assumptions. Experiment with open-source, open-weight, and Chinese coding models in approved environments to compare usefulness for SDLC automation and handover tasks. Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables. Examples of market tools, models, and SDLC platforms expected Agentic workflow frameworks such as Lang Graph, Auto Gen, Crew AI, Open AI Agents SDK, Llama Index Workflows, Semantic Kernel, or comparable orchestration stacks. AI development platforms and editor integrations such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-compatible internal assistants. Model families relevant to SDLC automation such as Deep Seek Coder, Qwen/Qwen-Coder, Code Gee X, Star Co

📌 Ai swe (Madrid)
🏢 IGLUBIT
📍 Madrid