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

- 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

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)
- Versátil 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 (m/f/d) (La Coruña)
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