Hybrid AI Workflow Engineer for Automation

SmartRecruiters, Inc.; Granada; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Flexible working hours

Weekly language classes

Mentoring sessions & experience days

Health insurance

Meal vouchers

Social fund

26+ vacation days

Descripción de la vacante

T-Systems is seeking an AI Engineering Workflow Developer in a hybrid capacity, based in Spain. You will implement AI-assisted utilities, assist in configuring AI environments, and build integrations across Git, CI/CD, and documentation stores.

The role requires 2–4 years in related fields, strong Python skills, and familiarity with AI coding assistants and LLMs. We offer flexible hours, language development, and a supportive, collaborative team.

Formación

• 2–4 years in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development roles.
• Strong 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.

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 scripting

Documentation habits

Curiosity

Herramientas

Git

Docker

Kubernetes basics

Linux shells

Descripción del empleo

T-Systems is seeking an AI Engineering Workflow Developer in a hybrid capacity, based in Spain. You will implement AI-assisted utilities, assist in configuring AI environments, and build integrations across Git, CI/CD, and documentation stores.

The role requires 2–4 years in related fields, strong Python skills, and familiarity with AI coding assistants and LLMs. We offer flexible hours, language development, and a supportive, collaborative team.