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 general team, guided by respect, integrity, and a passion for doing better every day.

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 that remain auditable, 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 LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndex 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 DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or enterprise-hosted frontier models.
• Supporting components including vector databases, graph stores, code indexing, OpenAPI wrappers, GitLab/GitHub APIs, Jenkins APIs, observability, and evaluation dashboards. Qualifications
• 5+ years of engineering experience across software development, DevOps automation, platform engineering, or AI workflow implementation.
• Strong hands-on Python skills, API integration experience, and practical knowledge of orchestration frameworks, RAG patterns, tool calling, and evaluation loops.
• Experience turning prototypes into reusable engineering workflows with clear interfaces, logging, error handling, configuration, and maintainability discipline.
• Good understanding of CI/CD, Git workflows, containers, Kubernetes, software architecture documentation,



and modular cloud software environments.
• Strong written communication skills for creating workflow documentation, evidence packs, usage guidance, and decision support for senior stakeholders.
• Comfortable operating in ambiguous, confidentiality-sensitive settings where AI outputs must be reviewed, justified, and converted into reliable engineering evidence. What do

we offer
you? Work environment & flexibility
• International, dynamic and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on-site).
• Flexible

working hours
. Growth & development
• Customized training: access to Coursera to learn whatever you want, whenever you want.
• Weekly language classes (English & German).
• International Mentoring Sessions & Experience Days. Compensation & benefits
• Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
• Telemedicine.
• Life and accident insurance.
• Social fund. Wellbeing & time off
• 26+ working days of vacation per year.
• Free access to specialist services (medical, legal, wellness).
• 100% salary coverage during medical leave. And many more advantages of being part of T-Systems If you are looking for a new challenge, do not hesitate to send us your CV Please send CV in English. Join our team T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

📌 AI SWE (España)
🏢 T-Systems Iberia
📍 España