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AI Platform Engineer

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Job

  • Level
    Erfahren
  • Job Feld
    IT, DevOps, Back End
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Hamburg
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In dieser Position entwickelst du Produktionsumgebungen für KI-Anwendungen, integrierst Komponenten und sorgst für Observability sowie Sicherheitsfeatures, um eine effiziente Backend-Anbindung zu gewährleisten.

    Job Technologien

    Deine Rolle im Team

    • You'll be part of the AI Platform Team, which is currently taking shape. It's emerging within our DXP team (Developer Experience Platform), which has already built and operates a Kubernetes-based Internal Developer Platform. The new team is deliberately kept small, senior-led, and close to the existing platform expertise.
    • You'll build the path that takes AI into production here:
    • From prototype to productive application. You build the bridge from 'sketched out with Claude in Python' to 'running-observed and secured-in operations.'
    • Selecting and integrating components. LLM gateway, container runtime, workflow and agent orchestration, observability, cost tracking. As a team, not alone.
    • Snowflake as the context layer. You'll make Snowflake the home for our agents' data-for operational data, and in the longer term for ontological knowledge as well.
    • Backend integration. Via API and MCP, secured through gateways, and where it makes sense, as a CLI.
    • Making agents observable. Prompt, tool-use, and cost telemetry end to end, evals as part of the lifecycle, lineage from the user action through the model call to the effect in the core system.
    • Security as a platform feature. Machine identities and permissions for agents, guardrails against prompt injection, clean secret management, audit trails.

    Unsere Erwartungen an dich

    Qualifikationen

    • Have run LLM-based applications in production, or closely supported doing so
    • An understanding of agents: tool use, context engineering, evaluation, observability
    • High agency and the ability to make decisions and explain your reasoning clearly
    • You use AI daily in your own work

    Erfahrung

    • Experience as a software or, ideally, a platform engineer
    • Hands-on experience with AWS and in data engineering, ideally with Snowflake

    Benefits

    Mehr Netto

    Gesundheit, Fitness & Fun

    Work-Life-Integration

    Essen & Trinken

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Hamburg

      Deutschland

    Das ist dein Arbeitgeber

    Hellmann Worldwide Logistics GmbH & Co. KG

    Hellmann Worldwide Logistics GmbH & Co. KG

    Hellmann Worldwide Logistics ist der weltweit führende Logistikdienstleister, der seit 150 Jahren international agiert und diesen Erfolg mit dem Charme eines Familienunternehmens vereint. Ob per Bahn, LKW, Schiff, Flugzeug oder im Lager – wir bieten unseren Kund*innen rund um den Erdball die passgenaue Lösung.

    Description

  • Gründungsjahr
    1871
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Full Remote, Hybrid, Onsite
  • Branche
    Logistik, Transport
  • Arbeitgeber-Reviews

    von devworkplaces.com

    Gesamt

    (1 Bewertung)
    2.7
    • Workingconditions

      3.2
    • Culture

      2.7
    • Engineering

      2.4
    • Career Growth

      2.7
    Alle Reviews anzeigen
    Ort
    Hamburg
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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