About this 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.

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Frequently Asked Questions

Is the salary disclosed for the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) position at t-systemsiberia?
The salary for this AI SWE / Agentic SDLC Workflow Engineer (mf/d/) role at t-systemsiberia is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) position at t-systemsiberia located?
This AI SWE / Agentic SDLC Workflow Engineer (mf/d/) role at t-systemsiberia is based in A Coruña, Bilbao, Gijón, Granada, Reus, Sevilla or Valencia, A Coruña, Bilbao, Gijón, Granada, Reus, Sevilla or Valencia, , Spain, es. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) role at t-systemsiberia full-time or part-time?
This is listed as a Full time position. It is posted as a AI SWE / Agentic SDLC Workflow Engineer (mf/d/) role in the O-SISGD - GDC Iberia (34005365) department at t-systemsiberia.
Which team or department does the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) at t-systemsiberia belong to?
This AI SWE / Agentic SDLC Workflow Engineer (mf/d/) position is part of the O-SISGD - GDC Iberia (34005365) department at t-systemsiberia. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) position at t-systemsiberia?
Click the "Apply Now" button on this page. You will be redirected to t-systemsiberia's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the AI SWE / Agentic SDLC Workflow Engineer (mf/d/) job at t-systemsiberia posted?
This AI SWE / Agentic SDLC Workflow Engineer (mf/d/) position at t-systemsiberia was posted on Aug 11, 2026. Apply as soon as possible — early applications are often reviewed first.
AI SWE / Agentic SDLC Workflow Engineer (mf/d/)
t-systemsiberia
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