T‑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 integral team, guided by respect, integrity, and a passion for doing better every day.

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, including 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. Examples of market tools, models, and SDLC platforms expected
* Agentic workflow frameworks such as LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndex Workflows, Semantic Kernel, or comparable orchestration stacks.
* AI development platforms and editor integrations such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-compatible internal assistants.
* Model families relevant to SDLC automation such as DeepSeek Coder, Qwen/Qwen-Coder,



CodeGeeX, StarCoder, Code Llama, Mistral, or enterprise-hosted frontier models.
* Supporting components including vector databases, graph stores, code indexing, OpenAPI wrappers, GitLab/GitHub APIs, Jenkins APIs, observability, and evaluation dashboards. Qualifications
* 5+ years of engineering experience across software development, DevOps automation, platform engineering, or AI workflow implementation.
* Strong hands‑on Python skills, API integration experience, and practical knowledge of orchestration frameworks, RAG patterns, tool calling, and evaluation loops.
* Experience turning prototypes into reusable engineering workflows with clear interfaces, logging, error handling, configuration, and maintainability discipline.
* Good understanding of CI/CD, Git workflows, containers, Kubernetes, software architecture documentation, and modular cloud software environments.
* Strong written communication skills for creating workflow documentation, evidence packs, usage guidance, and decision support for senior stakeholders.
* Comfortable operating in ambiguous, confidentiality-sensitive settings where AI outputs must be reviewed, justified, and converted into reliable engineering evidence. What do

we offer
you? Work environment & flexibility
* International, dynamic and collaborative environment.
* T-Social: social initiatives (sports, community, health, ...).
* Customized training: access to Coursera to learn whatever you want, whenever you want.
* Weekly language classes (English & German).
* International Mentoring Sessions & Experience Days.
* Life and accident insurance.
* Social fund. Wellbeing & time off
* 26+ working days of vacation per year.
* Free access to specialist services (medical, legal, wellness).
* 100% salary coverage during medical leave. And many more advantages of being part of T-Systems T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer. #J-18808-Ljbffr

📌 AI SWE (Valencia)
🏢 T-Systems Iberia
📍 Valencia