AI Engineering Workflow Developer (mf/d)

• Full-time

About the Position

We are seeking an AI Engineering Workflow Developer to implement and maintain AI-assisted engineering utilities for repository indexing, code summarization, and more.

About the Company

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.

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.

Requirements

• 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.

We Offer

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.