AI Software Engineer / Agentic SDLC Workflow Engineer

About the role

T-Systems Iberia is looking for an AI Software Engineer / Agentic SDLC Workflow Engineer to design and integrate reusable AI-assisted workflows that accelerate software development and handover tasks. The role covers repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis and documentation generation, and works with work-package leads to turn ambiguous engineering questions into structured, auditable workflows.

Key responsibilities

• Build reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis and documentation generation.
• Package prompts, tools, retrieval layers, model routing, evaluation checks, retries and human approval steps into repeatable engineering accelerators.
• Integrate AI workflows with Git platforms, CI/CD systems, documentation stores, issue trackers, test outputs, service catalogues and architecture evidence repositories.
• Create workflow outputs that remain auditable, with traceable source references, confidence indicators, reviewer checkpoints and explicit assumptions.
• Experiment with open-source, open-weight and Chinese coding models in approved environments to compare their usefulness for SDLC automation and handover tasks.
• Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables.

Required profile

• 5+ years of engineering experience across software development, DevOps automation, platform engineering or AI workflow implementation.
• Experience turning prototypes into reusable engineering workflows with clear interfaces, logging, error handling, configuration and maintainability discipline.
• Strong written communication skills for workflow documentation, evidence packs and guidance for senior stakeholders.
• Comfortable working in ambiguous, confidentiality-sensitive settings where AI outputs must be reviewed and justified.

Required skills

• Strong hands-on Python, API integration and orchestration frameworks.
• RAG patterns, tool calling and evaluation loops.
• CI/CD, Git workflows, containers, Kubernetes and cloud software architecture documentation.
• Expected familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, LlamaIndex, Semantic Kernel), AI editors (Cursor, Windsurf, Claude Code, Continue, Cline, Aider) and models such as DeepSeek Coder, Qwen, CodeGeeX, StarCoder, Code Llama and Mistral.

What we offer

• Hybrid work model and flexible working hours.
• Customised training, weekly language classes (English and German), mentoring sessions and experience days.
• Flexible compensation plan (health insurance, meal vouchers, childcare, transport), telemedicine and life and accident insurance.
• 26+ working days of vacation per year and specialist services access.