AI Engineering Workflow Developer (mf/d)- Full-timeT‑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- 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!#J-18808-Ljbffr

📌 Ai Engineering Workflow Developer (Mf/D) (Granada)
🏢 Smartrecruiters
📍 Granada