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

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