T-Systems is a global leader in information technology and digital transformation services, operating as the enterprise IT subsidiary of Deutsche Telekom. The company provides a wide range of integrated solutions, including cloud services, cybersecurity, digital connectivity, and industry-specific software, particularly for the healthcare, public sector, and manufacturing industries. With a global workforce of approximately 27,000 employees, it serves multinational corporations and public institutions worldwide.

In Spain, T-Systems Iberia is one of the country's largest IT employers, maintaining a significant presence in major technology hubs like Barcelona, Madrid, and Granada. The company is known for its multicultural environment and its role as a strategic partner for both the Spanish public administration and the private sector. For international professionals, T-Systems offers a stable environment with opportunities to work on large-scale digital transformation projects, often utilizing English as a primary language for international accounts and cloud-native technologies.

T-Systems was founded in 2000 as the IT services arm of Deutsche Telekom following the acquisition of debis Systemhaus. It has evolved from a traditional infrastructure provider into a global leader in digital services and multi-cloud management.

For international professionals

Operates major delivery centers across Spain, including a significant innovation hub in Granada and large offices in Barcelona and Madrid.
Offers flexible work models and 'Work from Anywhere' policies for many technical and consultancy roles within the Spanish territory.
Provides extensive internal training and certification paths for high-demand technologies including SAP, AWS, Azure, and Google Cloud.
Frequently recruits for international projects where English is the primary working language, facilitating the integration of non-Spanish speakers.
Strongly involved in the digitalization of the Spanish healthcare system and public administration, offering high-impact career opportunities.

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

T-Systems Iberia

Requirements

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.

Benefits

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.

Original Advert

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.