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Open nowPosted 67 days ago

AI Engineering Workflow Developer (mf/d)

T-Systems Iberia95 open roles

Where
A Coruña, Bilbao, Gijón, Granada, Reus, Sevilla & Valencia, Spain
Work mode
Hybrid
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Your applicationOpen nowAI Engineering Workflow Developer (mf/d)T-Systems Iberia · A Coruña, Bilbao, Gijón, Granada, Reus, Sevilla & Valencia, Spain

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on T-Systems Iberia's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. T-Systems Iberia postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 67 days ago

T-Systems Iberia median: 7 days open

The posting

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

  • 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.

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