AI SWE / Agentic Handover Engineer (m/f/d)
il y a 5 jours
Granada
ph3AI SWE / Agentic Handover Engineer (m/f/d) /h3 pFull-time /p pT‑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. /p pWe 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. /p h3Mission /h3 pDeliver 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. /p h3Role focus /h3 pThis 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. /p h3Key responsibilities /h3 ul liBuild reusable AI‑assisted workflows for repository intake, code scanning, dependency extraction, build issue triage, and documentation generation. /li liPackage prompts, retrieval steps, tool integrations, and evaluation logic into repeatable engineering patterns suitable for enterprise delivery. /li liCreate 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. /li liHelp define quality gates for AI‑assisted outputs, including traceability, explainability, approval points, and human‑in‑the‑loop controls. /li liPartner with technical PMO and work‑package leads to produce evidence packs that support decisions, risks, and transition readiness views. /li liImprove throughput of technical due diligence activities without compromising engineering quality, auditability, or confidentiality constraints. /li /ul h3Examples of market tools and workflow frameworks expected /h3 ul liAgentic workflow frameworks such as LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, LlamaIndex Workflows, or similar orchestration stacks. /li liTool integration and agent control patterns such as memory, tool calling, structured retries, fallback logic, evaluation loops, and human‑in‑the‑loop review stages. /li liSupporting components such as vector databases, retrieval layers, observability tooling, and API/service wrappers that allow workflows to operate across code, documents, and engineering evidence. /li liEngineering workflows that can operate across OpenStack‑related repositories, CI/CD systems, architecture metadata, test outputs, and service dependency graphs are especially relevant. /li /ul h3Qualifications /h3 ul li5+ years of engineering experience with strong delivery discipline and comfort operating across software, DevOps, and documentation boundaries. /li liHands‑on background in Python, APIs, orchestration frameworks, and developer tooling. /li liPractical experience with AI systems in production, especially RAG, evaluation pipelines, tool use, prompt workflows, and observability. /li liStrong written communication skills for producing concise engineering evidence and handover outputs for senior stakeholders. /li liAbility to work in ambiguous environments and translate partial technical evidence into structured findings and recommendations. /li liFamiliarity with modular cloud software stacks derived from OpenStack, or similarly complex multi‑service infrastructure platforms, is strongly preferred. /li /ul h3Whatdoweofferyou? /h3 ul liT‑Social: social initiatives (sports, community, health, ...). /li liHybrid work model (remote/on‑site). /li liFlexible working hours. /li /ul h3Growthdevelopment /h3 ul liWeekly language classes (English German). /li liInternational mentoring sessions experience days. /li liFlexible compensation plan (health insurance, meal vouchers, childcare, transport). /li liSocial fund. /li /ul h3Wellbeing time off /h3 ul li26+ working days of vacation per year. /li /ul pAnd many more advantages of being part of T‑Systems! /p pIf you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team! /p pT‑Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer. /p pBy 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. /p /p #J-18808-Ljbffr
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