AI Engineering Workflow Developer (mf/d)
* Full-time 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.

Key responsibilities
* Implement andmaintainsmall 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 tovalidateAI-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 elevate 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. Whatdoweofferyou?
* T‐Social: socialinitiatives(sports,community,health, ...).
* Hybridworkmodel(remote/on-site).
* Flexibleworkinghours. Growth&development;
* Weeklylanguageclasses(English & German).
* InternationalMentoringSessions&ExperienceDays.;
* Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
* Socialfund. Wellbeing& time off
* 26+workingdaysofvacationperyear. And many more advantages of being part of T‐Systems

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