HOME DevOps & Engineering AI SWE / Agentic SDLC Workflow Engineer (mf/d/)
T-Systems Iberia VERIFIED EMPLOYER

AI SWE / Agentic SDLC Workflow Engineer (mf/d/).

DevOps & Engineering Full-Time

AI SWE / Agentic SDLC Workflow Engineer (mf/d/): our view in 3 lines...

  • The Role:This role is for an engineer building AI-assisted workflows for software development and SDLC automation.
  • The Person:The person will build reusable AI workflows for code analysis, documentation, build diagnosis, and SDLC automation, while integrating them with Git platforms, CI/CD systems, and other engineering tools.
  • Requirements:The ideal candidate has strong hands-on Python skills, API integration experience, practical knowledge of orchestration frameworks, RAG patterns, tool calling, and evaluation loops.

About the role

Company Description

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.

Job Description

Key responsibilities 

  • Build reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation. 
  • Package prompts, tools, retrieval layers, model routing, evaluation checks, retries, and human approval steps into repeatable engineering accelerators. 
  • Integrate AI workflows with Git platforms, CI/CD systems, documentation stores, issue trackers, test outputs, service catalogues, and architecture evidence repositories. 
  • Create workflow outputs that remain auditable, including traceable source references, confidence indicators, reviewer checkpoints, and explicit assumptions. 
  • Experiment with open-source, open-weight, and Chinese coding models in approved environments to compare usefulness for SDLC automation and handover tasks. 
  • Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables. 

Examples of market tools, models, and SDLC platforms expected 

  • Agentic workflow frameworks such as LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndex Workflows, Semantic Kernel, or comparable orchestration stacks. 
  • AI development platforms and editor integrations such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-compatible internal assistants. 
  • Model families relevant to SDLC automation such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or enterprise-hosted frontier models. 
  • Supporting components including vector databases, graph stores, code indexing, OpenAPI wrappers, GitLab/GitHub APIs, Jenkins APIs, observability, and evaluation dashboards. 

Qualifications

  • 5+ years of engineering experience across software development, DevOps automation, platform engineering, or AI workflow implementation. 
  • Strong hands-on Python skills, API integration experience, and practical knowledge of orchestration frameworks, RAG patterns, tool calling, and evaluation loops. 
  • Experience turning prototypes into reusable engineering workflows with clear interfaces, logging, error handling, configuration, and maintainability discipline. 
  • Good understanding of CI/CD, Git workflows, containers, Kubernetes, software architecture documentation, and modular cloud software environments. 
  • Strong written communication skills for creating workflow documentation, evidence packs, usage guidance, and decision support for senior stakeholders. 
  • Comfortable operating in ambiguous, confidentiality-sensitive settings where AI outputs must be reviewed, justified, and converted into reliable engineering evidence. 

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.

Published August 11, 2026
Location A Coruña, Spain
Category DevOps & Engineering  
Job Type Full-Time