AI Engineering Workflow Developer (mfd)

Key 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. 

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. 

Qualifications :

• 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. 

Additional Information :

What do we offer you  

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.

Remote Work :

No

Employment Type :

Full-time