AI Workflow Engineer - Code & DevOps Automation

T-Systems Iberia; Valencia; Híbrido; EUR 42.000 - 68.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Meal vouchers

Telemedicine

Life and accident insurance

Social fund

24–26 vacation days

Descripción de la vacante

T-Systems Iberia in Valencia is seeking a software engineer to develop and maintain AI-assisted tooling for repository indexing, code summarization, and documentation generation. You will collaborate with senior engineers to configure AI environments and test prompts, aiming to improve SDLC workflows.

Ideal candidates have 2–4 years in software engineering, solid Python skills, hands-on experience with Git, Docker and Kubernetes, and a curiosity-driven approach to learn new AI models and tooling.

Formación

• 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 elevate 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.

Responsabilidades

• 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.

Conocimientos

Python

Prompt engineering

AI tooling

Documentation

Curiosity & learning

Herramientas

Git

Docker

Kubernetes

Jenkins CI/CD

Linux

Descripción del empleo

T-Systems Iberia in Valencia is seeking a software engineer to develop and maintain AI-assisted tooling for repository indexing, code summarization, and documentation generation. You will collaborate with senior engineers to configure AI environments and test prompts, aiming to improve SDLC workflows.

Ideal candidates have 2–4 years in software engineering, solid Python skills, hands-on experience with Git, Docker and Kubernetes, and a curiosity-driven approach to learn new AI models and tooling.