AI Engineering Workflow Developer (mf/d)

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 global team, guided by respect, integrity, and a passion for doing better every day. Key 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 approved models.  - Workflow and integration tooling such as Python, FastAPI, notebooks, LangChain, LlamaIndex, GitLab/GitHub APIs, Jenkins APIs, Markdown, and documentation automation.  - Supporting engineering tools such as Git, Docker, Kubernetes basics, Helm basics, Linux shells, package managers, log processing, and structured prompt repositories.  - 2-4 years in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development roles.  - Good Python skills and willingness to work across APIs, scripting, developer tooling, documentation, tests, and lightweight automation services.  - Hands-on familiarity with AI coding assistants, prompt engineering, LLM APIs, local model experimentation, or RAG-style development is strongly preferred.  - Basic understanding of Git, CI/CD, Linux, containers, cloud platforms, and software architecture documentation, with readiness to deepen OpenStack knowledge.  - Careful working style with good documentation habits, curiosity, and ability to escalate unclear findings instead of over-trusting AI-generated answers.  - Comfortable working in a confidential enterprise environment where learning speed, quality discipline, and structured communication are important.  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.