Job ID: 744000142835806 AI Engineering Workflow Developer (m/f/d) A Coruña, Bilbao, Gijón, Granada, Reus, Seville, Valencia Professional Regular T-Systems Iberia ### Your Task This role involves implementing and maintaining small AI-assisted engineering utilities and supporting senior engineers in AI development environments. You will work with various AI coding models, development tools, and SDLC platforms to improve engineering workflows and documentation. ####

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 #### Tools and Platforms You Will Work With
- 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 ###

Your Profile
We are seeking an AI-Assisted Engineering Support Specialist with strong Python development skills, hands-on experience with AI coding tools,



and solid understanding of DevOps practices to support AI-driven software development lifecycle initiatives. #### Must Have Skills
- 2-4 years of experience in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development roles
- Good Python skills with ability to work across APIs, scripting, developer tooling, documentation, tests, and lightweight automation services
- Basic understanding of Git
- Basic understanding of CI/CD
- Basic understanding of Linux
- Basic understanding of containers
- Basic understanding of cloud platforms
- Basic understanding of software architecture documentation
- 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
- Learning speed and quality discipline
- Structured communication skills
- Familiarity with AI development environments such as Cursor, Windsurf, Continue, Cline, Aider, Claude Code, or VS Code-based extensions configured for enterprise repositories
- Knowledge of model families used for coding support such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other internally approved models
- Experience with workflow and integration tooling such as Python, FastAPI, notebooks, LangChain, LlamaIndex, GitLab/GitHub APIs, Jenkins APIs, Markdown, and documentation automation
- Knowledge of supporting engineering tools such as Git, Docker, Kubernetes basics, Helm basics, Linux shells, package managers, log processing, and structured prompt repositories #### Nice to Have Skills
- Hands-on familiarity with AI coding assistants
- Experience with prompt engineering
- Experience with LLM APIs
- Local model experimentation experience
- RAG-style development experience ###

About Us
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. #### Benefits 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
- Adaptable 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 #### Application Information If you are looking for a new challenge, do not hesitate to send us your CV Please send CV in English. *T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.
* Job Benefits ### Health & Insurance
- Health insurance (flexible compensation plan)
- Life and accident insurance
- Telemedicine
- 100% salary coverage during medical leave ### Financial
- Flexible compensation plan (health insurance, meal vouchers, childcare, transport)
- Social fund ### Work-Life Balance
- Hybrid work model (remote/on-site)
- Flexible

working hours
- 26+ working days of vacation per year ### Professional Development
- Customized training: access to Coursera to learn whatever you want, whenever you want
- Weekly language classes (English & German)
- International Mentoring Sessions & Experience Days ### Lifestyle & Wellness
- T-Social: social initiatives (sports, community, health, ...)
- Free access to specialist services (medical, legal, wellness)

📌 AI Engineering Workflow Developer (La Coruña)
🏢 T-Mobile
📍 La Coruña