Experteer Overview

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In this role you will architect and deliver reusable AI-assisted workflows for SDLC automation, aligning with cross-functional teams to accelerate analysis, decomposition, and documentation. You will integrate AI pipelines with Git, CI/CD, and documentation tools, ensuring outputs are auditable with traceability and explicit assumptions. You will explore diverse models and open ecosystems to compare usefulness for handover tasks, guiding work-package leads in translating ambiguous questions into concrete AI-enabled deliverables. This position offers impact through scalable workflow accelerators and transparent governance within a modern engineering environment.

Compensaciones / Beneficios
• 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 catalogs, 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 usefulness for SDLC automation and handover tasks
• Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables
• Refer to market tools and SDLC platforms such as LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndexWorkflows, Semantic Kernel or comparable xghoner orchestra

📌 AI Software Engineer (Granada)
🏢 Deutsche Telekom
📍 Granada