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!

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

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