AI SWE / Agentic Handover Engineer (m/f/d)

- Full-time

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 general team, guided by respect, integrity, and a passion for doing better every day.

Mission

Deliver AI-assisted handover and due diligence support with added emphasis on automation, repeatability, evidence generation, and reusable workflow packaging across multiple engineering work packages. A central goal of the role is to create repeatable AI-assisted workflows that help assess, document, and transition a cloud software stack derived from OpenStack.

Role focus

This second position complements Position A by emphasizing workflow engineering so that AI-assisted code understanding can be reused consistently across repositories, teams, and technical assessment tasks. The role should help industrialize analysis of modular cloud software environments based on OpenStack-style architecture and related CI/CD and integration flows.

Key responsibilities

- Build reusable AI-assisted workflows for repository intake, code scanning, dependency extraction, build issue triage, and documentation generation.
- Package prompts, retrieval steps, tool integrations,



and evaluation logic into repeatable engineering patterns suitable for enterprise delivery.
- Create workflow accelerators that support the analysis and handover of a cloud software stack derived from OpenStack, including service mapping, control‑plane understanding, and cross‑component dependency views.
- Help define quality gates for AI-assisted outputs, including traceability, explainability, approval points, and human‑in‑the‑loop controls.
- Partner with technical PMO and work‑package leads to produce evidence packs that support decisions, risks, and transition readiness views.
- Improve throughput of technical due diligence activities without compromising engineering quality, auditability, or confidentiality constraints.

Examples of market tools and workflow frameworks expected

- Agentic workflow frameworks such as LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, LlamaIndex Workflows, or similar orchestration stacks.
- Tool integration and agent control patterns such as memory, tool calling, structured retries, fallback logic, evaluation loops, and human‑in‑the‑loop review stages.
- Supporting components such as vector databases, retrieval layers, observability tooling, and API/service wrappers that allow workflows to operate across code,



documents, and engineering evidence.
- Engineering workflows that can operate across OpenStack‑related repositories, CI/CD systems, architecture metadata, test outputs, and service dependency graphs are especially relevant.

- 5+ years of engineering experience with strong delivery discipline and comfort operating across software, DevOps, and documentation boundaries.
- Hands‑on background in Python, APIs, orchestration frameworks, and developer tooling.
- Practical experience with AI systems in production, especially RAG, evaluation pipelines, tool use, prompt workflows, and observability.
- Strong written communication skills for producing concise engineering evidence and handover outputs for senior stakeholders.
- Ability to work in ambiguous environments and translate partial technical evidence into structured findings and recommendations.
- Familiarity with modular cloud software stacks derived from OpenStack, or similarly complex multi‑service infrastructure platforms, is strongly preferred.

Whatdoweofferyou?

- T‑Social: socialinitiatives(sports,community,health, ...).
- Hybridworkmodel(remote/on‑site).
- Flexibleworkinghours.

Growth&development;

- Weeklylanguageclasses(English & German).
- InternationalMentoringSessions&ExperienceDays.;
- Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
- Socialfund.

Wellbeing& time off

- 26+workingdaysofvacationperyear.

And many more advantages of being part of T‑Systems!

#J-18808-Ljbffr

📌 AI SWE / Agentic Handover Engineer (m/f/d) - Andalucía, Spain
🏢 T-Systems Iberia
📍 Andalucía