AI SWE / Agentic Handover Engineer - T Cloud Public (REF5673M)

Stack

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

Requirements

• ▹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

Nice to have

• ▹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

Soft skills

About the company

As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5,300 employees, serving hundreds of large customers in Germany and other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019 and was acknowledged as the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs, and Szeged.