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

T-Systems Iberia; Granada; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model (remote/on‑site)

Flexible working hours

Weekly language classes

Descripción de la vacante

T‑Systems Iberia is seeking an AI SWE / Agentic Handover Engineer to deliver AI‑assisted handover and due diligence workflows for a cloud software stack derived from OpenStack. You will design reusable automation across repositories, CI/CD and integration flows, with emphasis on automation, evidence, and repeatability.

The role requires strong Python skills, orchestration frameworks, and experience with AI systems in production, including RAG and evaluation pipelines.

Formación

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

Responsabilidades

• 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.

Conocimientos

Engineering

Python

APIs

Orchestration

Tooling

RAG

Technical writing

Herramientas

LangGraph

OpenAI Agents SDK

AutoGen

CrewAI

LlamaIndex Workflows

Descripción del empleo

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 global 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.

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.

Whatdoweofferyou?

• T‑Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on‑site).
• Flexible working hours.

Growth&development

• Weekly language classes (English & German).
• International mentoring sessions & experience days.
• Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
• Social fund.

Wellbeing& time off

• 26+ working days of vacation per year.

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.

By clicking the link above or any third‑party link within this posting, you are leaving this site and going to a third‑party website where the third‑party website's terms and privacy policy apply.