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.

• 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.

• 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 Deep Seek Coder, Qwen/Qwen-Coder,CodeGeeX,Star Coder, Code Llama, Mistral, or other internally approved models.
• Workflow and integration tooling such as Python,FastAPI, notebooks,Lang Chain,Llama Index, Git Lab/Git Hub 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, Dev Ops 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 Open Stack knowledge.
• Careful working style with good documentation habits, curiosity, and ability to upscale 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.

• International,dynamicandcollaborativeenvironment.
• T-Social: social initiatives(sports,community,health, ...).
• Hybridworkmodel(remote/on‑site).
• Flexibleworkinghours.

• Customizedtraining:accessto
  
  Courseratolearnwhateveryouwant,wheneveryouwant.
• Weeklylanguageclasses(English & German).
• International Mentoring Sessions &Experience Days.

• Flexiblecompensationplan (health insurance,meal vouchers,childcare,transport).
• Telemedicine.
• Lifeandaccidentinsurance.
• Social fund.

• 26+workingdaysofvacationperyear.
• Freeaccesstospecialistservices(medical, legal,wellness).
• 100% salarycoverageduringmedicalleave.

And many more advantages of being part of T-Systems!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.