AI Engineering Workflow Developer; m​/f​/d

Puesto: AI Engineering Workflow Developer (m/f/d)
Job  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 WithAI 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 Deep Seek Coder, Qwen/Qwen-Coder, CodeGeeX, Star Coder, Code Llama, Mistral, or other internally approved models

Workflow and integration tooling such as Python, FastAPI, notebooks, Lang Chain, Llama Index, Git Lab/Git Hub 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 Dev Ops practices to support AI-driven software development lifecycle initiatives.

Must Have Skills2-4 years of experience in software engineering, Dev Ops 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/CDBasic understanding of Linux Basic understanding of containers

Basic understanding of cloud platforms

Basic understanding of software architecture documentation

Readiness to deepen Open Stack 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 Deep Seek Coder, Qwen/Qwen-Coder, CodeGeeX, Star Coder, Code Llama, Mistral, or other internally approved models

Experience with workflow and integration tooling such as Python, FastAPI, notebooks, Lang Chain, Llama Index, Git Lab/Git Hub 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 APIsLocal model experimentation experienceRAG-style development experience

About UsT-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…