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

Company Description

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

Job Description

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.

Qualifications

• 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.

Additional Information

What do we offer you?  

Work environment & flexibility  

• International, dynamic and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on-site).
• Flexible working hours.

Growth & development  

• Customized training: access to Coursera to learn whatever you want, whenever you want.
• Weekly language classes (English & German).
• International Mentoring Sessions & Experience Days.

Compensation & benefits  

• Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
• Telemedicine.
• 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!

If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

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